BSc or equivalent engineering degree in electric/electronic, controls, mechatronics, automotive, mechanical engineering or related technical field is preferred.

Previous professional and industry experience in model or code based software development (like Matlab Simulink, C++, C#, Python) is required.

Professional experience and knowledge of development processes (e.g., PTE Controls and Systems Engineering Process) is also required.

Knowledge of standards such as ASPICE and ISO26262, and domain-specific knowledge (e.g., Powertrain, Vehicle) is preferred.

Fluent speaking and excellent writing skills in English (German, French or Italian would be a plus).

Responsibilities:

Define and develop system requirements, architecture, and test concepts for controls and functions.

Develop control algorithms, schematics, including initial calibration datasets.

Perform system integration, testing, and validation, including rapid prototyping and hardware-in-the-loop testing.

Develop embedded software for embedded control, including requirement engineering and software architecture.

Integrate software into electronic hardware control units and provide commissioning and support at customer locations.

Develop innovative algorithms for future mobility, create and update software applications, and optimize development processes and tools.

Travel the world for environmental tests in different and exciting locations (e.g. USA, Austria, Finland, Spain).

Work with AVL Global experts to keep up with latest technologies and industry trends.

About AVL Research and Engineering Turkey

Established in 2008, AVL Research and Engineering is an engineering center of AVL with two R&D centers in Istanbul-Türkiye that develops mobility solutions with intelligent and advanced technologies, runs national and international R&D projects and serves customers from the Turkish and the global automotive industry.

About AVL

AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

Find out more: www.avl.com

Location:

Istanbul, TR

Company:

AVL Research & Engineering

Job Function:

Powertrain Engineering

Contract Type:

Permanent

Posting Date:

Jun 12, 2026

Job ID:

39274

XML job scraping automation by YubHub

What you will be doing:

Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA. Contribute new features and optimisation techniques targeting NVIDIA Grace CPUs engaging with upstream and open source communities. Develop compiler SW that is optimised for performance. Be part of a team that is at the centre of AI, HPC and data centre technologies. Help in the development of next generation CPU micro-architecture.

What we need to see:

BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent experience More than 12 years of experience with compiler development in a production environment. Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules. Strong hands-on C++ programming skills Excellent verbal and written communications skills

Ways to stand out from the crowd:

Familiarity with CPU architectures such as Arm Architecture (AArch32, AArch64), RISC-V, x86_64, PowerPC or DSPs and engaging with pre-silicon compiler and toolchain contributions. A track record of working with industry standard compiler infrastructure such as LLVM Knowledge of AI algorithms, scientific HPC applications and related code optimisations. Meaningful contributions to free software and open source compiler communities.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most innovative and talented people on the planet working for us and, due to unprecedented growth, our world-class engineering teams are expanding fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

XML job scraping automation by YubHub

• $255K – $405K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Codex Web Layer team provides the web-based systems and user experiences for Codex across the entire stack, from the Electron-like application framework that powers the application, to the user-facing in-app browser.

About the Role

In this role, you will be responsible for designing and implementing infrastructure and features end-to-end for the Codex desktop client application. You will help define what it means to be a hybrid agentic/interactive web browser. The team embodies “full stack” development from the lowest-level OS integration to the highest-level interaction design.

This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role you will:

• Partner closely with product and design to conceive, design, and build features for Codex web browsing features on macOS and Windows. This role will focus mostly on the backend C++ layer and Chromium, but many features cross the full stack including some TypeScript.

• Partner with the wider Codex team to deliver a high-performance, stable, and secure application platform for client development. This includes API design and implementation (mostly in C++) and the infrastructure that supports deploying it (in Python, TypeScript, and agentic skills).

• Work with a small, experienced team of engineers on this critical and rapidly growing product.

You might thrive in this role if you:

• Have significant experience building technically complex features end-to-end.

• Are a strong C++ developer, especially with experience in browser environments like Chromium and Electron. Since this role is more backend focused, general knowledge of web development and TypeScript is helpful but not required.

• Thrive in a fast-paced, ambiguous environment.

• Communicate clearly and concisely across many different roles in the organization.

• Are self-directed, identifying important work and executing it end-to-end.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

XML job scraping automation by YubHub

Solution Architects work with top minds with Financial Services Capital Markets and Exchange firms to accelerate High-Performance Computing and AI workloads across various use cases. We’re seeking an inquisitive, hard-working, and creative individual passionate about helping solve challenges. Join us in this endeavor!

What You’ll Be Doing:

• Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.

• Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.

• Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.

• Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.

• Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

What We Need To See:

• MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)

• 5+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++

• Experience with ML/DL algorithms with frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow

• Ability to communicate ideas and share code clearly through blog posts, GitHub

• Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)

• Effective verbal/written communication and technical presentation skills

• Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team

• Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production

Ways To Stand Out From The Crowd:

• Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms, alongside experience performing performance optimizations.

• Familiarity with NVIDIA GPU architectures.

• GPU Development experience through NVIDIA CUDA-x libraries, cuBLAS, cuDNN.

• Knowledge of MLOps technologies such as containers, data center deployments, cluster management software, etc.

• Experience working with enterprise developers building HPC or data analytics applications.

XML job scraping automation by YubHub

Specific areas we are excited by include but are not limited to computer vision for 3D vision, generative and multimodal AI (e.g., vision and language, audio-visual learning, etc.), as well as explainable and trustworthy AI.

As a Research Scientist, you will work within an amazing and collaborative research organisation that consistently publishes at the top venues across computer science.

Responsibilities:

• Research, design and implement novel computer vision and deep learning methods.
• Publish original research.
• Collaborate with other team members and teams.
• Mentor interns.
• Speak at conferences and events.
• Transfer technology to product groups.
• Collaborate with external researchers.

Requirements:

• Must hold a Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
• Excellent knowledge of theory and practice of computer vision and deep learning methods.
• A track record of research excellence with your work published in top conferences and journals such as NeurIPS, ICML, ICLR, CVPR, PAMI, etc., and other research artifacts such as software projects.
• Knowledge of common machine learning frameworks, such as PyTorch.
• Excellent programming skills in some rapid prototyping environments such as Python; C++ and parallel programming (e.g., CUDA) is a plus.
• Excellent communication skills.

XML job scraping automation by YubHub

In this role, you will be responsible for inventing new methods to enable parallel, graph-based RTL traversal, analysis, and manipulation. You will also devise strategies for rapidly analyzing the impact of RTL changes on data path latency, power, and impact to DFT, clocking, and power delivery.

Requirements:

• MS or PhD in Electrical Engineering or Computer Science or equivalent experience
• 3+ years of relevant experience in CAD software and VLSI hardware design
• Demonstrated ability in software development with C++, particularly in algorithm development related to graph traversal, pattern matching, and optimization
• Familiarity with RTL design, including Verilog and SystemVerilog code, as well as general hardware design concerns such as scan chain insertion, MBIST, clock and power distribution, and bus architectures
• Familiarity with related EDA techniques, including logic synthesis, global route, static timing analysis, and SAT solvers
• Strong communication and interpersonal skills

Preferred qualifications include experience with common EDA building blocks, such as Verific for Verilog parsing, Espresso for logic minimization, and various other components for logic rewriting, tree coverage, SAT solvers, and combinatorial optimization. Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc. is also desired.

XML job scraping automation by YubHub

Apply

locationsIndia, Bengaluru

time typeFull time

posted onPosted Today

job requisition idJR2019454

As part of the CAD team, our engineers develop and support tools for all of NVIDIA's semiconductor products. In addition, they also develop in-house tools in the area of Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL.

What you will be doing:

• Be responsible for architecting highly automated and customizable design flows using software engineering with modular design and object-oriented techniques.

• Work closely with our diverse team members on flows to provide DFT, and DFP methodologies for industry-leading chip designs.

• Support development of tools using C++/Python/TCL.

• Work cross-functionally with DFT Methodology, Implementation and design teams with important DFT and power tools development tasks.

What we need to see:

• 2+ years of relevant work experience.

• Smart, diligent, and motivated to work in our CAD group.

• BE or BTech or MTech in Computer Science, or Electronics Engineering, or Electrical Engineering, or equivalent experience.

• Knowledge or experience with DFT, DFP is a plus.

• Familiar with Verilog, VLSI, and ASIC design principles, including knowledge of logic cells.

• Software engineering: software design, algorithms, and QA.

• Strong C++ programming experience.

• Solid programming and scripting skills in Python or TCL desired.

• Knowledge of GenAI, LLM, AI Code Generation is a plus.

• Having strong interpersonal skills will serve you well in this role.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

#LI-Hybrid

XML job scraping automation by YubHub

At Okta, we are building a world where anyone can safely use any technology, and within Okta Platform R&D, we're specifically focused on protecting the future of work. We are a globally-minded company dedicated to delighting our customers across the world.

We are looking for an experienced Principal UI Software Engineer (who can work full stack) to work within our Identity Lifecycle and Administration with a focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc.

You will serve as the technical authority for the Identity Lifecycle and Administration group, responsible for defining and driving the long-term technical strategy and architecture across the entire.

In this role, you’ll get to:

Implement specialised UI components where needed (e.g., editors, grids, structured data components) with a focus on performance and usability Evolve front-end architecture, including component libraries, layout patterns, theming, and global UI behaviours Often operate with minimal design oversight, owning interaction decisions and frontend architecture for mission-critical systems used in real-world operations Be a force multiplier who can create frameworks and solutions that enable other teams within the group to be more productive. Provide deep technical mentorship and sponsorship for key initiatives led by Senior and Staff engineers, multiplying their impact and ensuring alignment with company strategy. Establish and govern architectural standards and best practices for developer experience, observability, and quality across all the entire group.

Minimum Requirements

• 10+ years of software development experience
• Proficiency in modern front-end technologies, including Type Script, React, and Next.js
• Expertise in software architecture and implementation, with a strong development background in a language like Java, Python, or C++, and experience with frameworks such as Spring, React.js, or Node.js.
• Experience working with design systems, component libraries, and scalable UI architectures
• Obsessive attention to detail in user experiences
• A deep understanding of web performance optimisation, accessibility standards (WCAG), and responsive design principles
• A strong grasp of software engineering designs, principles, and practices, with a focus on building scalable and maintainable systems.
• You have strong communication skills and can distill complex concepts into simple, easy to understand narratives

Education

• B.S. Computer Science or equivalent

XML job scraping automation by YubHub

The Okta Privileged Access Management Team (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale.

We are looking for a manager to lead the product development team behind this fast-growing product as we continue our mission to secure the internet by building a scalable, reliable product that customers love to use.

Key Responsibilities:

• Lead a team of engineers responsible for building the backend, frontend for PAM features.
• You’ll lead the adoption of AI across your team’s software development workflows, integrating it thoughtfully to improve productivity, quality, and speed.
• Work closely with Product Management to develop and implement our product roadmap.
• Empower your teams to focus on usability, scale and reliability.
• Recruit great engineers to accelerate our work.
• Mentor, retain and develop engineers as they advance in their own careers.
• Establishing clear priorities, expectations, and accountability for individuals and team - Driving the execution and delivery of product features with high quality, collaborating with cross-functional teams, System Architects, QA, and Documentation teams

Requirements:

• Have managed software engineering teams with end-to-end ownership over their technical stack, development environment and production performance.
• Hands-on experience with AI-assisted development tools such as GitHub Copilot and Claude, with the ability to integrate them effectively into day-to-day engineering workflows.
• Are excited to build an amazing product - and believe the best way to do so is by leading and empowering engineers.
• Are familiar with infrastructure tools such as AWS, GCP, Ansible, Terraform or Kubernetes.
• Have successfully built high-performing engineering teams which deliver their product “as a Service”.
• Have opinions on topics like feature flags, CI pipelines and technical debt.
• Are comfortable leading geographically distributed teams.
• Thrive on autonomy, and use it to get stuff done.

Required Education and Experience:

• 5+ years of experience building SaaS or Infrastructure software products as a software engineer or manager.
• 3+ years of experience being hands-on with Golang/Java/C++/C#.
• Deep understanding of at least 1 major cloud provider (AWS/Azure/GCP).
• 2+ years of technical management experience.
• Bachelor's in CS, or equivalent

XML job scraping automation by YubHub

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

This is a rare opportunity to lead frontier machine learning work at Pinterest on one of the company’s highest-leverage surfaces: Ads ranking and auctions.

In this Sr. Staff MLE role, the right candidate will define the technical strategy for next-generation ranking systems, applying AI- and agentic-driven development loops to accelerate modeling innovation, experimentation, and automation at massive scale.

They’ll partner closely with senior leaders across product, applied science, and infrastructure to shape outcomes that directly impact advertiser performance, Pinner experience, and company revenue, while also setting modeling standards, influencing architecture across the ads ML stack, and mentoring top-tier technical talent.

For someone excited by deep technical ownership, broad organizational influence, and the chance to build ambitious systems using rich multimodal data and a modern ML platform, this is an exceptionally high-impact leadership opportunity.

What you’ll do:

• Lead the technical strategy for advancing ads ranking and bidding models using large scale ML and agentic development loops.

• Design, build and launch production models and signals that improve ads quality, relevance and long term value.

• Build and refine training, evaluation and feedback pipelines that continuously learn from online behavior, experimentation results and advertiser outcomes.

• Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.

• Own the technical strategy for advancing ads ranking models, with a focus on AI/agentic development loops and automation.

• Build and refine agentic training and evaluation pipelines that continuously learn from feedback signals, offline and production behavior.

• Partner closely with product, applied science, and infra teams to translate business objectives into modeling roadmaps and success metrics.

• Ensure models meet the bar for reliability, safety, fairness, and compliance with privacy and policy constraints.

• Drive technical design reviews, set modeling best practices, and make high-impact architectural decisions across the ads ML stack.

• Mentor and uplevel other MLEs and scientists in advanced modeling techniques, tooling, and agentic workflows.

• Lead frontier work applying AI- and agentic-driven development loops to one of Pinterest’s highest-leverage systems: ads ranking and auctions.

• Shape product outcomes at massive scale, with direct impact on advertiser value, Pinner experience, and company revenue.

• Partner with senior leaders across product, research, and infra, gaining broad visibility and influence on ads strategy.

• Grow as a technical leader by setting modeling standards, mentoring senior talent, and driving multi-quarter roadmaps across teams.

• Access Pinterest’s rich multimodal data and modern ML/infra stack to experiment quickly and ship ambitious ideas.

What we’re looking for:

• Minimum of 8 years of experience in applied machine learning including large scale ranking or ads systems.

• Deep expertise in modern recommendation and ranking techniques such as gradient boosted trees and deep learning based ranking models.

• Experience building and operating ML systems at scale in languages such as Python or C++ and with modern data and experimentation platforms.

• Demonstrated ability to use AI to improve speed and quality in your day to day workflow for modeling, experimentation and analysis.

• Experience leading cross functional initiatives and influencing senior partners across product, engineering and research.

• Bachelor’s/Master’s degree in a relevant field such as computer science or statistics, or equivalent experience.

• High integrity and ownership in how you handle data, use AI responsibly and remain accountable for final decisions and deliverables.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments.

What this looks like day to day can vary based on the needs of each organization or role.

This role will need to be in the office for in person collaboration 1–2 times/month and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco, Palo Alto or Los Angeles.

#LI-HYBRID #LI-AK7

XML job scraping automation by YubHub

You will partner with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches, and ensure efficient, reliable deployment of ML models in production. This role offers an opportunity to influence key AI-driven systems across Reddit while mentoring and uplifting the team's technical capabilities.

Responsibilities:

Architect and lead the development of next-generation, large-scale machine learning techniques.

Define and execute the ML strategy, identifying opportunities to enhance personalization and recommendation quality across Reddit.

Lead research initiatives on scalable machine learning systems and real-time model adaptation, bringing cutting-edge advancements into production.

Partner with ML infrastructure teams to build high-performance, distributed training systems that efficiently scale across multiple GPUs and cloud environments.

Establish and optimize real-time serving architectures for large-scale embeddings, ensuring low-latency inference and high throughput.

Collaborate cross-functionally with teams in Feed Ranking, Ads, Content Understanding, and Core ML to integrate ML models into Reddit's key AI-driven systems.

Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing.

Stay at the forefront of AI research, evaluating and introducing new modeling paradigms to keep Reddit's ML ecosystem cutting-edge.

Drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making.

Who You Might Be:

8+ years of experience in machine learning engineering, with a strong focus on large-scale ML systems and recommendation or personalization systems.

Expertise in modern deep learning architectures, including sequence models and foundational models.

Deep understanding of complex multi-entity relationships in machine learning applications and how they are modeled in large-scale systems.

Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference.

Strong software engineering skills in Python, C++, or similar languages, with experience in ML infrastructure, high-performance computing, and cloud-based ML pipelines.

Demonstrated leadership in driving ML strategy, mentoring engineers, and influencing cross-functional teams.

Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems.

Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders.

Benefits:

Comprehensive Healthcare Benefits and Income Replacement Programs

401k with Employer Match

Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid Volunteer Time Off

Generous Paid Parental Leave

XML job scraping automation by YubHub

Design, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, and automated test infrastructure. Build Linux-based applications for NVIDIA, ARM, and other embedded compute platforms connected to real sensors, payloads, peripheral hardware, and mission systems. Integrate camera inputs such as RGB, NIR, and thermal, alongside GPS, IMU, communications, and other sensor or peripheral inputs using interfaces such as MIPI CSI, GMSL, Ethernet, serial, or similar hardware-facing protocols. Develop calibration, synchronisation, data capture, diagnostics, device inspection, and system configuration tools for multi-sensor and mission-system environments. Optimise software for latency, frame rate, throughput, reliability, power use, and thermal performance on constrained edge compute platforms. Debug issues across software, hardware, operating systems, networking, sensors, timing, compute, and deployment environments. Collaborate across systems, hardware, autonomy, AI, product, and test teams to deliver integrated capability. Own technical outcomes from ambiguous requirements through implementation, integration, verification, and delivery.

Degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, a related technical field, or equivalent real-world engineering experience. Proven commercial or production C++ development experience, including designing, implementing, debugging, and maintaining non-trivial software systems. Demonstrated experience building software that interfaces with real hardware, sensors, embedded devices, robotics, vehicles, imaging systems, networks, or other operational platforms. Practical experience developing and debugging software on Linux-based systems. Experience working with edge compute, embedded compute, ARM-based platforms, NVIDIA platforms, or comparable hardware-constrained environments. Strong software engineering fundamentals, including concurrency, interfaces, memory management, data structures, algorithms, testing, and version control. Proven ability to debug complex issues across software, hardware, operating systems, networking, timing, and integration boundaries. Experience owning technical work from incomplete requirements through design, implementation, integration, verification, and delivery. Ability to collaborate effectively with cross-functional engineering teams, including systems, hardware, test, autonomy, AI, or product stakeholders.

Runtime-critical, multi-threaded, or performance-sensitive C++ software for real-time or near-real-time systems. Imaging, video, or sensor pipelines, including camera integration, ISP tuning, high-throughput image processing, GStreamer, FFmpeg, or similar technologies. Hardware-accelerated processing on embedded or edge platforms, including NVIDIA Jetson, Qualcomm-based platforms, embedded AI accelerators, GPU-accelerated video or compute pipelines, or similar systems. Integration of peripheral hardware such as RGB, NIR, and thermal cameras, GPS, IMU, GPU, or vehicle-interface systems. Robotics, aerospace, defence, autonomy, unmanned systems, automotive, or other mission-critical domains. Systems architecture, including interface design, system decomposition, testability, reliability, and maintainability. Low-level Linux, device interfaces, vendor SDKs, driver-adjacent debugging, NixOS, edge AI/ML inference, or related Linux-based deployment environments. Automated build, CI/CD, simulation, software-in-the-loop, hardware-in-the-loop, system test, containerised deployment, or deployment tooling.

XML job scraping automation by YubHub

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions.

We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers.

We're seeking Software Engineers to build the core Command and Control software for our Lattice platform. This team is responsible for bridging the gap between hardware and human operators. Our software runs both on the vehicles managing real-time telemetry, health, and autopilot tasks and on the Ground Control Station enabling operators to plan missions, visualize maps, manage massive fleets, and orchestrate complex autonomous behaviors.

We are also pioneering the integration of GenAI agents into our systems, allowing operators to direct autonomous assets using natural language interfaces.

This is a highly autonomous role where you will build, ship, and see your code run on physical hardware deployed in the world.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 3+ years working in a back end capacity in Python, C++, Rust, Go, or Java
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems with a bias toward rapid delivery and iteration
• Desire to collab with team members to deliver novel software capabilities to ambiguous problems

PREFERRED QUALIFICATIONS

• Experience with any of the following, distributed systems, cloud computing, or SAAS
• Experience with multi-agent autonomous systems or defense tech
• Knowledge of military systems and operational tactics
• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems

BENEFITS

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

For more information, Explore Our Benefits.

PROTECTING YOURSELF FROM RECRUITMENT SCAMS

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

• Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

DATA PRIVACY

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process.

XML job scraping automation by YubHub

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril's premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions.

We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We're seeking Software Engineers to build the core Command and Control software for our Lattice platform. This team is responsible for bridging the gap between hardware and human operators. Our software runs both on the vehicles managing real-time telemetry, health, and autopilot tasks and on the Ground Control Station enabling operators to plan missions, visualize maps, manage massive fleets, and orchestrate complex autonomous behaviors.

We are also pioneering the integration of GenAI agents into our systems, allowing operators to direct autonomous assets using natural language interfaces. This is a highly autonomous role where you will build, ship, and see your code run on physical hardware deployed in the world.

Required Qualifications:

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 3+ years working in a full-stack capacity in any of the following - Backend Python, C++, Rust, Go, Java, JavaScript - Frontend React and Typescript
• Experience building software solutions involving significant amounts of data processing and analysis
• You understand how real-time backend data flows seamlessly into an operator's UI.
• Ability to quickly understand and navigate complex systems with a bias toward rapid delivery and iteration
• Desire to collab with team members to deliver novel software capabilities to ambiguous problems

Preferred Qualifications:

• Experience with any of the following, distributed systems, cloud computing, or SAAS
• Experience with multi-agent autonomous systems or defense tech
• Knowledge of military systems and operational tactics
• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems

US Salary Range $166,000-$220,000 USD

XML job scraping automation by YubHub

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

We are seeking Software Engineer Interns for Summer 2027! This is a paid, in-person, 12-week internship.

What You'll Do

• Support the software solutions that are deployed to customers and key stakeholders.
• Write code to improve products and scale the mission capability to more customers.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Create and analyze metrics that are leveraged for debugging and monitoring.
• Triage issues, root cause failures, and coordinate next-steps.
• Work on real, meaningful projects and learn from experienced professionals along the way.

Required Qualifications

• Must be pursuing a Bachelor's degree in Computer Science, Computer/Software Engineering, Mathematics, Physics, or any related field.
• Must be a rising senior at the time of the internship and returning to school at the end of the internship to continue academic studies for at least one quarter/semester.
• Familiarity with algorithms, data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
• Proficiency in a variety of programming languages such as C++, Go, Rust, Java, and Python.
• A desire to work on software and applications that have real-world impact.
• U.S. Person status is required as this position needs to access export-controlled data.

Preferred Qualifications

• Have a bias for action. If you see a problem, you want to solve and fix it.
• Be naturally curious about the technologies and tools you use.
• Low-ego, high ownership, and mission-oriented.

XML job scraping automation by YubHub

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

We are looking for Software Engineers to join our rapidly growing team! We hire self-motivated people, those who hold a higher bar for themselves than anyone else could hold for them. If you are eager to solve tough problems, then this role might be for you!

Responsibilities

• Support the software solutions that are deployed to customers and key stakeholders.
• Write code to improve products and scale the mission capability to more customers.
• Collaborate across multiple teams to plan, build, and test complex functionality.
• Create and analyze metrics that are leveraged for debugging and monitoring.
• Triage issues, root cause failures, and coordinate next-steps.
• Work on real, meaningful projects and learn from experienced professionals along the way.

Requirements

• Must be pursuing or have recently completed a Bachelor's or Master's degree in Computer Science, Computer/Software Engineering, Mathematics, Physics, or a related field.
• Able to start full time in 2027.
• Familiarity with algorithms, data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
• Proficiency in a variety of programming languages such as C++, Go, Rust, Java, and Python.
• A desire to work on software and applications that have real-world impact.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities; U.S. clearance eligibility may be required depending on program.

Preferred Qualifications

• Have a bias for action. If you see a problem, you want to solve and fix it.
• Be naturally curious about the technologies and tools you use.
• Low-ego, high ownership, and mission oriented.

XML job scraping automation by YubHub

Creative Innovation sits at the intersection of emerging technology, creative craft, and game-making, developing the tools, partnerships, and breakthroughs that help EA's studios create more ambitiously. We innovate shoulder to shoulder with game teams, pushing the boundaries of what's possible, and our work reaches players through the world's most beloved games.

We are looking for a Senior Research Engineer to join our ML Agents program. You will use techniques like reinforcement learning and imitation learning to create real-time NPC behaviors and game AI bots, translating research into functional demonstrations that guide innovation for EA's games. The team has a track record, having deployed ML agents in FC26 and tested ML agents for the Battlefield franchise. We believe this approach is the future of in-game agents.

This is a hybrid remote/in-office role (3 days/week at the office) from our Vancouver, BC studio. You will report to the Pillar lead for Emergent Gameplay.

As a Senior Research Engineer on the ML Agents program, you will:

• Develop novel ideas by researching and implementing solutions to some of the most complex challenges in video game AI, changing the way EA makes games.
• Contribute to applied research in areas such as Language Models, Reinforcement Learning, Imitation Learning, and agent reasoning. This includes proposing new use cases and algorithms for player-facing game AI agents, while targeting real-time, on-device performance.
• Build compelling demos that highlight novel applications of game AI agents, including NPC behaviors and game AI bots, with a focus on integration into modern game engine technologies.
• Collaborate directly with game studios to understand their AI needs and deliver agent solutions that work within their production pipelines.

We are looking for an open and curious person; someone who gets a kick out of taking new ideas, investigating them, and adapting their application to games.

Required Qualifications:

• A degree in Computer Science, a STEM field, or equivalent practical experience related to game AI.
• 8+ years of experience in software development, game development, or other relevant roles demonstrating the ability to build real-time game AI experiences.
• Strong experience with Reinforcement Learning, Imitation Learning, or other agent-based ML approaches.
• Experience turning ideas into functional prototypes or demos that showcase concepts in practice.
• Excellent programming abilities and ability to explain complex concepts.
• Experience with programming languages commonly used in game development and machine learning, including C++, C#, and Python.
• Working knowledge of game engines such as Unity, Unreal, Godot, or similar technologies.
• A genuine interest in video games paired with a critical understanding of how AI is built in games, including the ability to form your own insights on how you can improve it.

Desired Qualifications:

• PhD degree in Computer Science or a STEM field.
• Experience deploying ML models in shipped game titles or live production environments.
• Experience with publications in peer-reviewed conferences or journals.

We want to connect you with job opportunities that align with your interests, skills, and expertise. When you create an EA Careers Account and are logged into the portal, you can click “Get Recommendations” to view a curated list of job openings. These recommendations are enhanced by automated processing, including artificial intelligence, and take into account your skills and experience. However, all employment decisions are made by our hiring teams, not by automated systems.

Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

£141,400 - £204,400 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

XML job scraping automation by YubHub

Simulator Development Engineer

625 - Simulator - Banbury, Oxfordshire

TGR Haas F1 Team has been a stalwart of the FIA Formula 1 World Championship over the past decade. With more than 200 grand prix starts to our name, we pride ourselves on being an ambitious challenger within Formula 1 - and we want you to be part of that journey.

The first American Formula 1 team to compete in the sport since 1986, TGR Haas F1 Team made an immediate impression with a memorable points-scoring debut at the 2016 Australian Grand Prix. Ten years later, the team is still building momentum, guided by clear objectives and technical partnerships, and fresh from securing its second biggest points haul in a Formula 1 season.

Yes, you’ll learn from us, but we expect to learn from you too!

General Summary:

This role reports to the Simulator Development Team Leader or their designee and is based in Banbury, UK. The role supports the delivery and contribution of departmental and organisational objectives. Responsible for supporting day‑to‑day operations within their area of responsibility, working collaboratively with colleagues and stakeholders to ensure high standards of service, compliance, and performance. Adherence to organisational policies and procedures, effective communication with line management, and a commitment to continuous improvement and inclusive ways of working is essential.

Role Principles

• Act with integrity, always upholding the highest professional and ethical standards.
• Drive innovation and change to continuously improve ways of working and outcomes.
• Pursue operational excellence, ensuring efficiency, quality, and continuous improvement.
• Collaborate inclusively, building strong partnerships to achieve shared goals.
• Maintain a customer‑focused approach, prioritising the needs of internal and external stakeholders.
• Champion sustainability by embedding responsible and environmentally conscious practices into everyday work.

Key Responsibilities:

Role‑Specific Responsibilities

• Set up and run simulator sessions for race drivers, test drivers and performance systems engineers.
• Day-to-day maintenance & servicing of the simulation platform & facility.
• Monitor real-time data and ensure accurate simulation of vehicle dynamics and track conditions.
• Troubleshoot and resolve technical issues during sessions.
• Continuous development of the simulation software environment to improve operational procedures and vehicle correlation.
• Integration of vehicle models for real-time running in the simulator.
• Define and develop the necessary modifications to allow a simulator implementation of the Haas vehicle model (chassis, tyre and powertrain).
• Adopt the in-house developed symbolic language for any modelling work.
• Ensure the correct functionality of models I/Os and their interaction with the DIL hardware platform.
• Develop off-line environments to test the whole vehicle model or some of its subsystems.
• Helping to solve numerical or stability issues when the model is running in the real-time environment.

Operational Delivery

• Carry out day‑to‑day tasks efficiently and within agreed timescales.
• Ensure work meets expected service, quality, and compliance standards.
• Demonstrate accountability and professionalism in all activities.

Team & Stakeholder Collaboration

• Build positive working relationships with colleagues and stakeholders.
• Participate in meetings, briefings, and forums as required.
• Respond to queries within scope, escalating more complex matters when necessary.

Compliance & Governance

• Adhere to relevant legislation, organisational policies, and internal controls.
• Handle information responsibly, including confidential or sensitive data.
• Support audit, governance, and risk management activities as required.

Continuous Improvement

• Contribute ideas and feedback to improve processes and ways of working.
• Participate in team initiatives, projects, or improvement activities.

Additional Responsibilities

• Undertake any other reasonable duties consistent with the level and purpose of the role, as assigned by the line manager.

Person Specification:

Essential Qualifications & Experience:

• Degree or equivalent in any STEM subject but preferably qualified to postgraduate level with substantial experience in applied mathematics or engineering activities.
• Previous experience in a DIL simulator hardware/software environment in a development capacity within a motorsport, high-level automotive or aerospace environment.
• Modelling mechanical/hydraulic/thermal/electrical systems for dynamic simulations in a suitable programming language.
• Expert in at least 2 of the following languages: C++, Python, MATLAB, Modelica, C#.
• Hardware-in-the-loop and real time systems experience (E.g. Concurrent, dSPACE or Speed Goat).
• A practical, pragmatic engineer, with strong communication skills, both written and verbal.
• Ability to plan and organize project activities with other team members to meet a deadline.
• A can-do positive approach and a willingness to help others including mentoring junior members of the group.

Desirable:

• Knowledge of race engineering workflows and performance analysis.
• Motion cueing and vestibular system modelling knowledge.
• Knowledge of integration of SECU code for DIL applications.
• Graphics rendering experience with rFpro.

Resilience & Composure:

• Maintains calm and focus in high-pressure, fast-paced environments.
• Able to handle setbacks and adapt quickly to changing circumstances.

Integrity & Discretion:

• Trusted to manage confidential information and sensitive team matters.
• Upholds the highest standards of professionalism and ethical conduct.

Team-Oriented:

• Collaborative mindset with a commitment to team cohesion and shared success.
• Willingness to mentor and develop talent within the organisation.

Adaptability & Flexibility:

• Comfortable with extensive travel and irregular working hours, including weekends and race days.
• Open to innovation and continuous improvement in processes and culture.

Equipment and Applications:

• Computing languages: C++, Python, MATLAB and/or Modelica based programs.
• Programming for Windows and Linux (Ubuntu / RedHawk).
• Visual Studio, Source Control (Git), Azure DevOps.
• Microsoft Office products.
• High-level knowledge of an object-oriented simulation code base, such as C# or C/C++.

Physical Demands

Extended Hours & Flexibility:

• Many roles require working evenings, weekends, and public holidays, particularly during race season or critical development phases.

Travel Requirements:

• Roles supporting race operations, logistics, or communications may involve frequent international travel, including long-haul flights and time zone shifts.

Physical Activity (Varies by Role):

• Trackside roles may involve standing for long periods, walking across paddocks, and working in noisy, crowded environments.
• Factory roles may require manual handling of components, use of machinery, or working in temperature-controlled areas.
• Office-based roles typically involve prolonged computer use and occasional movement between departments.

Sensory Demands:

• Exposure to high noise levels (e.g., engines, pit lane activity), bright lighting, and fast-moving environments is common in race support roles.
• This role is based in a shared workplace environment where exposure to common allergens (including food products, fragrances and cleaning materials) may occur. While we will always consider reasonable adjustments, we are unable to guarantee a completely allergen‑free environment.

XML job scraping automation by YubHub

This position offers the opportunity to have real impact in a dynamic technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

As a key member of our ASIC Verification team, you will contribute to verifying graphics and compute features within an IP.

You will be responsible for IP-level verification of GPU ASICs, including the design, architecture, golden models, and micro-architecture, using advanced verification tools and methodologies.

You will work with the specifications and ensure functional and code coverage of all the RTL which you will verify.

You are expected to understand the design and implementation, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Work with HW architects and designers to make the right implementation choices.

You will be working with architects, designers, and other members of your verification teams to accomplish your tasks.

We are looking for someone with a strong technical background in verification, preferably with experience in 3D graphics processing, processor verification, and scripting languages such as Perl and Python.

If you are creative, autonomous and love a challenge, we want to hear from you.

XML job scraping automation by YubHub

As a Software Developer at Ford of Canada, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of engineers, and contribute to the development of innovative software solutions. You will also have access to ongoing training and professional development opportunities to help you grow your skills and advance your career.

If you are a motivated and detail-oriented individual with a passion for software development, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

Building and owning production machine learning models to improve results. Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT, and others, to deliver big impact. Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization. Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them. Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL. Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

The role requires a Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. OR equivalent experience.

Ability to meet Microsoft, customer, and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred qualifications include 2+ years of proficient experience with C#/C++/Java/Python/Scala or any other OOP skills with a good knowledge of Data Structures/Algorithms. Passionate and have experience in data analytics, applied machine learning, deep learning, and/or related fields.

The typical base pay range for this role across the U.S. is USD $102,100.00 – $202,200.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800.00 – $219,200.00 per year.

XML job scraping automation by YubHub

As an Application Software Developer, you will collaborate with cross-functional teams to deliver robust navigation solutions. You will implement software using Java, Kotlin, C++, including concurrent and asynchronous programming patterns such as multithreading and coroutines. You will integrate Android software with embedded automotive or Linux-based platforms and help ensure reliable performance in constrained system environments.

Responsibilities:

• Design, develop, and maintain Android services and applications that support embedded and mobile third-party navigation experiences across multiple in-vehicle displays.

• Collaborate with cross-functional teams including platform, integration, system, and product stakeholders to deliver robust navigation solutions.

• Implement software using Java, Kotlin, C++, including concurrent and asynchronous programming patterns such as multithreading and coroutines.

• Integrate Android software with embedded automotive or Linux-based platforms and help ensure reliable performance in constrained system environments.

• Debug and troubleshoot issues across application, service, and embedded system layers using appropriate tools and techniques.

• Participate in code reviews, contribute to software design discussions, and promote sound object-oriented design principles and development best practices.

• Support the team through source control, collaboration, and development workflows using GitHub.

• Contribute to planning, estimation, and execution within an Agile software development environment.

• Continuously improve software quality, maintainability, and team productivity through effective engineering practices and tooling.

Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field of study.

• 7+ years of experience in embedded software development.

• 3+ years experience with Android development on Java and Kotlin.

• Proven experience with multi-threaded embedded systems design and Real-Time OS (RTOS) concepts.

XML job scraping automation by YubHub

We are looking for a senior software engineer to join our efforts to advance our compute debugger products to the next level. The position will be part of a dynamic, worldwide team that develops and maintains and enhances a portfolio of debug tools and libraries that are hosted and targeting OSes including Windows, Linux, and other embedded system real time OSes (RTOS).

What you’ll be doing:

You will apply your knowledge of debuggers, binary instrumentation and computer architecture to enhance existing compute debugger tools and libraries, and extend them to new use cases. You should be comfortable working in C, C++, Python and assembly on a wide range of supported platforms: Windows, Linux, and embedded real time OSes. You should also be comfortable interacting with different development teams, and have an eagerness to learn about new compute and graphics drivers, GPU architectures and operating systems. You will:

• Architect, design, and implement solutions to integrate new debugger features into existing NVIDIA developer tools products.

• Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency.

• Document requirements and designs, and review documents with teams throughout NVIDIA.

• Develop the compute debugger tools for GPUs running on Linux, Windows, and embedded operating systems.

• Effectively estimate and prioritize tasks in order to create realistic delivery schedules.

• Provide peer reviews to other engineers, including feedback on performance, scalability and correctness.

• Mentor junior engineers.

What we need to see:

• 8+ years of experience

• BS or MS in Computer Science or equivalent experience

• Strong computer science fundamentals - algorithms and data structures, programming languages, parallel computing, and system software.

• Strong programming ability in C, C++, Assembly Language and scripting languages

• Excellent knowledge of computer architecture

• Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction

• Excellent communication and interpersonal skills along with the ability to work in a dynamic and distributed team.

Ways to stand out from the crowd:

• Expert knowledge in GPU architectures and GPU programming.

• Knowledge of CUDA programming

• Experience and/or interests in creating developer tools like debuggers and profilers.

• Masters or PhD in Computer Science, Mathematics, or related engineering fields.

XML job scraping automation by YubHub

Building and owning production machine learning models to improve results. Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact. Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization. Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them. Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL. Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Passionate and have experience in data analytics, applied machine learning, deep learning and/or related fields.

XML job scraping automation by YubHub

In this role, you won't just be testing software; you will be architecting the security and reliability of the next generation of intelligent vehicles. We are looking for engineers who are as comfortable navigating low-level product architecture as they are deep diving into complex product use cases with passion for quality. This is a high-impact, hands-on position focused on our industry-leading automotive products, offering a rare opportunity to influence the core of our tech stack. You will also build the tools and frameworks that define performance standards for systems running on Linux and QNX.

Responsibilities:

• Design, execute, and automate comprehensive test cases and test scenarios to validate our automotive platforms using various test methodologies to identify and track actionable defects and track them to closure.

• Participate in deep-dive reviews of product requirements and technical designs, providing critical feedback to ensure features are built for testability and security from day one.

• Partner closely with project management, hardware teams, and software developers to provide rigorous technical analysis of bugs and publish data-driven statistical reports for global team members.

• Architect and maintain a distributed test automation framework capable of managing high concurrency workloads across an extensive automation farm of hundreds of concurrent systems.

• Develop sophisticated test libraries and automation solutions to accelerate development cycles and expand automated test coverage for reliable and 100%.

• Drive the full automation lifecycle, from analysing log failures and logging defects to leading bug-scrub cycles that ensure high-quality product releases.

Requirements:

• 5+ years of proven experience in SWQA Test development & Automation engineering.

• Bachelor's degree in computer science, Electronics & Electrical Engineering. Solid foundation in QNX or Linux-based operating systems, including a detailed understanding of system concepts and boot sequences.

• Professional experience in System SW validation, Including CPU, Memory, GPU, Ethernet, CAN etc. Knowledge about Ethernet standards, TCP, UDP, ICMP, Switches, socket programming.

• Strong Python or C++ skills with a focus on writing clean, maintainable, and testable code from a systems-level perspective.

• Deep familiarity with AI-native development tools such as Claude Code, Cursor, or LLM APIs to optimize engineering velocity.

• A clear understanding of LLM failure modes,including hallucination and context degradation,and experience building evaluation frameworks for AI-generated outputs.

Nice to Have:

• Prior QNX, Linux testing experience especially in 1G & 10G Ethernet Testing & Socket programming.

• C / C++ coding experience. Understand the large C / C++ project code and derive functional/unit tests.

• Practical history of deploying prompt engineering or LLM-based agents within a production grade CI/CD pipeline.

XML job scraping automation by YubHub

Building and owning production machine learning models to improve results. Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT, and others, to deliver big impact. Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization. Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them. Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL. Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Ability to meet Microsoft, customer, and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

XML job scraping automation by YubHub

The Okta Privileged Access Management Team (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale.

We are looking for a manager to lead the product development team behind this fast-growing product as we continue our mission to secure the internet by building a scalable, reliable product that customers love to use.

**Key Responsibilities:

• Lead a team of engineers responsible for building the backend, frontend for PAM features.
• You’ll lead the adoption of AI across your team’s software development workflows, integrating it thoughtfully to improve productivity, quality, and speed.
• Work closely with Product Management to develop and implement our product roadmap.
• Empower your teams to focus on usability, scale and reliability.
• Recruit great engineers to accelerate our work.
• Mentor, retain and develop engineers as they advance in their own careers.
• Establishing clear priorities, expectations, and accountability for individuals and team - Driving the execution and delivery of product features with high quality, collaborating with cross-functional teams, System Architects, QA, and Documentation teams

**Requirements:

• Have managed software engineering teams with end-to-end ownership over their technical stack, development environment and production performance.
• Hands-on experience with AI-assisted development tools such as GitHub Copilot and Claude, with the ability to integrate them effectively into day-to-day engineering workflows.
• Are excited to build an amazing product - and believe the best way to do so is by leading and empowering engineers.
• Are familiar with infrastructure tools such as AWS, GCP, Ansible, Terraform or Kubernetes.
• Have successfully built high-performing engineering teams which deliver their product “as a Service”.
• Have opinions on topics like feature flags, CI pipelines and technical debt.
• Are comfortable leading geographically distributed teams.
• Thrive on autonomy, and use it to get stuff done.

**Experience and Education:

• 5+ years of experience building SaaS or Infrastructure software products as a software engineer or manager.
• 3+ years of experience being hands-on with Golang/Java/C++/C#.
• Deep understanding of at least 1 major cloud provider (AWS/Azure/GCP).
• 2+ years of technical management experience.
• Bachelor's in CS, or equivalent

XML job scraping automation by YubHub

At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it.

We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes,from emerging brands to Fortune 500s,use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people.

The opportunity

Flexport is a platform for global trade in an industry that comprises 12% of the global GDP. We are the first licensed freight forwarder and customs brokerage built around a modern tech stack. We help the world's fastest-growing brands manage their international supply chains, providing a fully-managed service for moving products between any two places on the planet.

Exceptional software development is integral in allowing us to fulfill our mission of fixing the user experience in global trade. At Flexport you’ll develop products that are at the forefront of reshaping the entire logistics & supply chain industries. You’ll work alongside self-starters interested in solving real-world problems and streamlining the inefficiencies in the complex global trade industry.

You’ll have the opportunity to reshape an industry by creating the new operating system for global trade. Our engineers are top-notch software developers who love listening to the users, working as a team, and proactively taking the lead whenever necessary.

The role involves learning the business of freight forwarding, modeling the work that people do to move freight, designing solutions to make it more efficient, and thinking innovatively to automate much of it. In this role, you will have an opportunity to own the design and development of key parts of our forwarding systems. You will have influence on subsystem design and help contribute to a team culture around practices that are critical to a quality product.

About the team

We have multiple teams in Shanghai and Shenzhen working on a suite of core products and services that enable Flexport operation to scale, including Forwarding Application, Client Application, Shipper Application, WMS, Consol Planning Tool, Document Platform (AI empowered), Email Platform, Compliance Platform, Work Assignment Engine, Exception Management, AI Copilot, Insight Builder (AI Data Analytics) and so on.

In addition, we have a NAWS (Native AWS) team that develops infrastructure solutions for our products and services using the latest Infrastructure as Code (IaC) technology: CDKTF (Cloud Development Kit for Terraform). Our scope includes, but is not limited to, CI/CD, observability, DevX, data subsetting (TS3), IaC, template engines, and various open-source projects.

Additionally, the team provides technical guidance to engineers across the organization. We are looking for engineers who love learning, are passionate about collaborating, and desire to build solutions with a global impact.

You will

• Build highly available, secure, distributed systems in a microservice architecture.
• Build cutting edge infrastructure solutions to help improve development experience across the company. And, work closely with other engineering teams to help them solve infrastructure related problems.
• Design, develop, test and maintain systems that represent the real-world intricacies of logistics entities, such as shipper, client, cargo, document, carrier, container, email etc.
• Collaborate with some of the best engineers in the industry to work on complex business and technical problems.
• Work closely with business partners and product managers to distill complex business problems into elegant technical solutions.
• Build and launch products rapidly and incrementally. We ship to production dozens of times per day.
• Ensure our products maintain a high-quality bar. We believe in anticipating issues by obsessing over metrics and applying key learnings from post-mortems to all our services.
• Geek out about shipping and logistics. (We do this often.)

You should have

Basic Qualifications

• 3+ years of experience writing software, and a strong engineering background.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns (OOA/OOD)
• Knowledge of at least one programming language such as TypeScript, Ruby, C, C++, Java, or Kotlin
• Bachelor's degree in Computer Science or related technical field, or equivalent experience

Preferred Qualifications

• A love of simple, well-tested code that is easy to extend and hard to break.
• A bias for action. When you see a problem, you solve it.
• The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
• Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment
• Understanding of performance tradeoffs, load balancing and operational issues
• Knowledge of professional software engineering practices & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations
• Experience with Infrastructure as Code (IaC) tools such as CDKTF, Terraform, AWS CloudFormation, or similar.
• Having basic concepts in AWS services, including IAM, EC2, ECS, S3, Lambda, Step Functions, EventBridge, and VPC, or equivalent services from other cloud providers.
• Familiarity with CI/CD pipelines, infrastructure automation, and monitoring/observability tools.
• Ability to troubleshoot and optimize distributed systems and cloud deployments.
• Non-optional: an aptitude for learning quickly.

Engineering Culture and Values

• Check out our Key Values profile.

#LI-onsite

XML job scraping automation by YubHub

At Flexport, we believe global trade can move the human race forward. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people.

The opportunity

Flexport is a platform for global trade in an industry that comprises 12% of the global GDP. We are the first licensed freight forwarder and customs brokerage built around a modern tech stack. We help the world's fastest-growing brands manage their international supply chains, providing a fully-managed service for moving products between any two places on the planet.

About the team

We have multiple teams in Shanghai and Shenzhen working on a suite of core products and services that enable Flexport operation to scale, including Forwarding Application, Client Application, Shipper Application, WMS, Consol Planning Tool, Document Platform (AI empowered), Email Platform, Compliance Platform, Work Assignment Engine, Exception Management, AI Copilot and so on.

You will

• Build highly available, secure, distributed systems in a microservice architecture.
• Design, develop, test and maintain systems that represent the real-world intricacies of logistics entities, such as shipper, client, cargo, document, carrier, container, email etc.
• Collaborate with some of the best engineers in the industry to work on complex business and technical problems.
• Work closely with business partners and product managers to distill complex business problems into elegant technical solutions.
• Build and launch products rapidly and incrementally. We ship to production dozens of times per day.
• Ensure our products maintain a high-quality bar. We believe in anticipating issues by obsessing over metrics and applying key learnings from post-mortems to all our services.
• Geek out about shipping and logistics. (We do this often.)

You should have

Basic Qualifications

• 3+ years of experience writing software, and a strong engineering background.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns (OOA/OOD)
• Knowledge of at least one programming language such as Ruby, C, C++, Java, or Kotlin
• Bachelor's degree in Computer Science or related technical field, or equivalent experience

Preferred Qualifications

• A love of simple, well-tested code that is easy to extend and hard to break.
• A bias for action. When you see a problem, you solve it.
• The ability to convey technical ideas in common terms to business partners, product managers, and engineers alike.
• Experience building large scale, high-performance systems in a complex, multi-tiered, distributed environment
• Understanding of performance tradeoffs, load balancing and operational issues
• Knowledge of professional software engineering practices & best practices for full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations
• Non-optional: an aptitude for learning quickly.

Engineering Culture and Values

Check out our Key Values profile.

About Flexport

At Flexport, we believe global trade can move the human race forward. We’re shaping the future of a $8.6T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes,from emerging brands to Fortune 500s,use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. At a valuation of $8 billion, we’re experiencing record growth and are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us.

Worried about not having any freight forwarding experience?

Don’t be! We’re building the first Operating System for Global Trade. That’s why it’s incredibly important for us to bring people from diverse backgrounds and experiences together with our industry veterans to help move the freight forwarding industry forward.

What’s freight forwarding and why does it matter? Freight forwarding is the coordination and shipment of goods from one place to another and it’s what makes global trade possible. Flexport is on a mission to make global trade easier for everyone because we believe it can help connect the world and break down economic barriers.

We know this industry is complex. That’s why we invest in education starting day one with Flexport Academy, a one week intensive onboarding program designed specifically to set every new Flexport employee up for success.

At Flexport, our ability to fulfill our mission of making global trade easy for everyone relies on having a diverse, dedicated and engaged workforce. That is why Flexport is committed to creating and nurturing an environment where anyone can be their authentic self. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.

Commitment to Equal Opportunity

All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, data protection laws may apply to any personal information you provide to us. Please review our Global Data Privacy Notice for Job Candidates and Applicants to understand how we process your personal information.

XML job scraping automation by YubHub

You will set the technical direction for power, sensor, and interface electronics, and remain hands-on to see your individual designs take flight. You will work in rapid design cycles where the goal is to get capable, robust hardware into space in twelve months or less. You will make well-informed engineering judgments about which requirements are load-bearing and which aren't, iterate on real hardware, and demonstrate the discipline to design for manufacturability and test from day one.

You will operate with a high degree of autonomy and be a technical anchor for less experienced engineers on the team.

Responsibilities

• Own the electrical architecture for imaging payloads, partitioning the system, defining power, sensor, data, and interface electronics, and driving the architectural tradeoffs (COTS vs. rad-hard, performance vs. schedule vs. cost) that enable a sub-12-month path to orbit.

• Lead the design, layout, bring-up, and qualification of PCBAs spanning analog, digital, mixed-signal, and power electronics for EO/IR sensor systems.

• Translate sensor and system performance models into electrical requirements, and push back on requirements that don't earn their place on the critical path.

• Drive rapid design-build-test cycles: prototype quickly, characterize on the bench, iterate on real hardware, and converge on flight-ready designs without unnecessary cycles.

• Design for the space environment (radiation, thermal extremes, vacuum, vibration, and launch loads) and own the analysis and testing (TVAC, vibe, EMI/EMC) that proves it.

• Bake in design for manufacturability and assembly (DFM/DFA) from the first schematic so designs scale cleanly toward low-rate production as programs mature.

• Lead board bring-up, integration, and troubleshooting in the lab and during environmental and integration testing, using standard bench equipment (oscilloscopes, logic analyzers, power supplies, DMMs, etc.).

• Partner closely with firmware, optics, mechanical, systems, and program teams to drive integration and close out anomalies fast.

• Mentor and provide technical guidance to other electrical engineers, and serve as a design-review and decision-making anchor for the electronics scope.

• Document architectures, designs, analyses, and test results to a standard that supports flight readiness and program reviews.

Requirements

• 12+ years of experience in electrical engineering spanning system-level architecture, electronics design, and hands-on test, with a track record of owning designs end to end.

• A degree in Electrical Engineering or equivalent.

• Demonstrated ownership of electronics architecture for a complex electromechanical or sensor system, including the tradeoff decisions that shaped it.

• Strong analog, digital, mixed-signal, and power electronics design experience, with deep schematic capture and PCB layout proficiency.

• Proven ability to take hardware from architecture through bring-up, integration, and qualification , including hands-on debug in the lab.

• Experience delivering hardware on aggressive timelines and working in rapid, iterative design cycles.

• Excellent engineering judgment, problem-solving, and the ability to make sound decisions with incomplete information under schedule pressure.

• Ability to collaborate effectively across a multidisciplinary engineering team.

• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications

• 12+ years of experience in electrical engineering spanning system-level architecture, electronics design, and hands-on test, with a track record of owning designs end to end.

• Direct experience designing electronics for space, especially New Space / commercial-cadence programs that flew hardware in a year or less.

• Familiarity with the space environment and qualification: radiation effects (TID/SEE), rad-hard and rad-tolerant part selection, COTS-for-space approaches, TVAC, vibration, and EMI/EMC.

• Experience with EO/IR, RF, optical, or other sensor and communication systems.

• Experience designing for manufacturability and assembly, and transitioning proven designs toward low-rate production to make them more robust and lower cost.

• Familiarity with analytical tools and programming languages such as MATLAB, Python, or C++.

• Understanding of system integration processes and workflows in aerospace or defense environments.

• Experience mentoring engineers and leading design reviews.

XML job scraping automation by YubHub

The Sensor Simulation team at Anduril is building a platform for generating synthetic imagery for various teams across the company. Use cases span a variety of areas, such as SITL (software in the loop) and HITL (hardware in the loop) integration tests of our systems, machine learning (ML) data generation and user training simulations.

Our mission is to close the sim2real gap,building synthetic imagery pipelines so realistic and physically accurate that our autonomy stack can't tell the difference between synthetic and real-world data. This directly accelerates development and validation of Anduril's perception and autonomy capabilities.

We're looking for software engineers with strong coding skills and deep, relevant experience who can learn quickly and help build out the platform. Candidates must have hands-on background in robotics, autonomy systems, or game engines,we need versatile generalists who can connect cutting-edge graphics with real-world sensor behavior.

WHAT YOU'LL DO

• Develop and maintain core capabilities in Unreal Engine such as a terrain rendering pipeline, vehicle physics models, and many more

• Work with other platform teams at Anduril to ensure our service integrates seamlessly with other core services

• Integrate various plugins and third-party capabilities into our platform, figuring out how to best make use of them and working around or fixing any bugs

• Collaborate closely with other teams across the company to enable them to integrate synthetic imagery and bring back lessons learned to help improve our product

• Iterate on sensor fidelity and environmental realism based on feedback from autonomy teams, bridging the gap between synthetic training data and real-world performance

REQUIRED QUALIFICATIONS

• Must have 4+ years of professional C++ programming experience

• Must be willing to travel 10% for collaboration across offices

• Comfortable working in a fast-paced, collaborative environment. Strong communication skills are a must.

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Game Design, Robotics.

• Proven understanding of data structures, algorithms, concurrency, and code optimization

• Proficiency with Unreal Engine OR demonstrated experience in robotics/autonomy systems (e.g., sensor simulation, perception pipelines, SITL/HITL testing)

• Experience troubleshooting and analyzing remotely deployed software systems

• Experience with various tools for performance analysis and debugging problems (gdb, bpftrace, perf, etc)

• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MS in Computer Science or Software Engineering

• Rust programming experience

• Experience in a Linux development environment

• GPU and graphics programming experience, including languages such as HLSL, Vulkan, or CUDA

• Familiarity with training machine learning models, especially for computer vision use cases

• Understanding of sensor physics (cameras, LiDAR, radar, EO/IR) and how to model them accurately in simulation

• Experience with 3D modeling tools

BENEFITS

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

PROTECTING YOURSELF FROM RECRUITMENT SCAMS

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

• Please always verify communications:

• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

DATA PRIVACY

XML job scraping automation by YubHub

The Sensor Simulation team at Anduril is building a platform for generating synthetic imagery for various teams across the company. Use cases span a variety of areas, such as SITL (software in the loop) and HITL (hardware in the loop) integration tests of our systems, machine learning (ML) data generation and user training simulations.

Our mission is to close the sim2real gap,building synthetic imagery pipelines so realistic and physically accurate that our autonomy stack can't tell the difference between synthetic and real-world data. This directly accelerates development and validation of Anduril's perception and autonomy capabilities.

We're looking for software engineers with strong coding skills and deep, relevant experience who can learn quickly and help build out the platform. Candidates must have hands-on background in robotics, autonomy systems, or game engines,we need versatile generalists who can connect cutting-edge graphics with real-world sensor behavior.

WHAT YOU'LL DO

• Develop and maintain core capabilities in Unreal Engine such as a terrain rendering pipeline, vehicle physics models, and many more

• Work with other platform teams at Anduril to ensure our service integrates seamlessly with other core services

• Integrate various plugins and third-party capabilities into our platform, figuring out how to best make use of them and working around or fixing any bugs

• Collaborate closely with other teams across the company to enable them to integrate synthetic imagery and bring back lessons learned to help improve our product

• Iterate on sensor fidelity and environmental realism based on feedback from autonomy teams, bridging the gap between synthetic training data and real-world performance

REQUIRED QUALIFICATIONS

• Must have 4+ years of professional C++ programming experience

• Must be willing to travel 10% for collaboration across offices

• Comfortable working in a fast-paced, collaborative environment. Strong communication skills are a must.

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Game Design, Robotics.

• Proven understanding of data structures, algorithms, concurrency, and code optimization

• Proficiency with Unreal Engine OR demonstrated experience in robotics/autonomy systems (e.g., sensor simulation, perception pipelines, SITL/HITL testing)

• Experience troubleshooting and analyzing remotely deployed software systems

• Experience with various tools for performance analysis and debugging problems (gdb, bpftrace, perf, etc)

• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MS in Computer Science or Software Engineering

• Rust programming experience

• Experience in a Linux development environment

• GPU and graphics programming experience, including languages such as HLSL, Vulkan, or CUDA

• Familiarity with training machine learning models, especially for computer vision use cases

• Understanding of sensor physics (cameras, LiDAR, radar, EO/IR) and how to model them accurately in simulation

• Experience with 3D modeling tools

BENEFITS

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

PROTECTING YOURSELF FROM RECRUITMENT SCAMS

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

• Please always verify communications:

• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

DATA PRIVACY

XML job scraping automation by YubHub

The highest-performing go-to-market teams have figured out how to turn their partner ecosystem into a revenue engine, and Crossbeam is the platform that makes that possible. Companies use Crossbeam to securely compare CRM data with partners, revealing shared customers, overlapping prospects, and warm paths into deals.

About the role

We're hiring an FP&A Manager to work directly with the COO and the Director of Accounting. You'll own the financial and operational reporting that leadership and the board rely on, run the budget cycle, and partner with Revenue on the two mechanisms that shape our growth engine: commissions and deal desk.

This is a high-visibility role. You'll present to the executive team, work alongside the COO on strategic finance projects, and have direct influence on how we forecast, pay, and price. You'll also be expected to continuously improve how Finance operates , using AI and automation to eliminate manual work and make the function faster, sharper, and more scalable.

What you'll own

Reporting , financial and operational

• Monthly financial reporting package: P&L, cash, SaaS metrics, variance analysis

• Operational reporting: ARR tracker, pipeline health, productivity and efficiency KPIs

• Salesforce-based reporting , you'll build and maintain reports and dashboards used by Finance and Revenue leadership

• Board deck financial section and the monthly investor update inputs

Budget and forecast

• Own the annual planning cycle end-to-end, working with each department head

• Run quarterly reforecasts, track actuals vs. plan, flag risks early

• Maintain the top-down financial model (ARR, headcount, OpEx, cash runway)

Commission tracking

• Partner with RevOps on commission plan design and changes

• Run monthly commission calculations and resolve disputes

• Coordinate with Accounting on payout processing

Deal desk support

• Review non-standard pricing and commercial terms

• Partner with RevOps and Legal on deal structure, approvals, and exception tracking

• Build pricing guardrails and escalation paths

Process optimization and AI leverage

• Continuously improve how Finance operates: challenge existing processes, eliminate manual work, and redesign workflows around AI and automation

• Build and maintain internal Claude skills for recurring Finance tasks (reporting, reconciliations, commission checks, variance analysis)

• Partner with our Ops team on n8n workflows connecting Salesforce, Rillet, Maxio, and Google Sheets

• Set the standard for an AI-native Finance function , your time should be spent on judgment, not data wrangling

What we're looking for

• >3 years in FP&A, ideally including time at a B2B SaaS company. Background in consulting will be also appreciated

• Strong financial modeling skills: you can build a working model from scratch, not just update someone else's

• Commercial mindset: you enjoy partnering with Revenue, not just reporting on them

• Fluency with AI tools in a professional context. You've used AI tools to accelerate your own work, and you can point to processes you've redesigned or automated. You see AI as a lever, not a threat

• Comfortable with Salesforce reporting, spreadsheets at depth, and modern finance tooling

• Clear, structured written communication: you'll be presenting to the exec team regularly

• Fluency in English mandatory

Nice to have

• Experience building internal automations (Claude skills, n8n, Zapier, or similar)

• Experience with SaaS accounting, commission plans and deal desk processes

• Prior exposure to board reporting and investor updates

• Working proficiency in French and English

Why this role

• Direct exposure. You'll work with the COO daily and the broader exec team weekly

• Small, senior team. Finance is three people today. You're the fourth, and the first dedicated FP&A hire

• Real ownership. Budget, commissions, deal desk, board reporting: all yours from day one

• AI-native by default. Claude is deployed across Crossbeam, and Finance is one of the heaviest-leverage use cases. You'll inherit a working foundation (ARR tracker, renewal tracker, SFDC query skills, n8n workflows) and have a clear mandate to push it further

Compensation and benefits

• Competitive base salary and equity

• Flexible remote work

Recruitment process

• Initial HR Screen , 30 minutes: A video call with the People team to discuss your background, commercial mindset, and alignment with Crossbeam’s mission

• Hiring Manager Interview with COO, 30 minutes: A deep dive into your technical FP&A experience, including financial modeling and SaaS metrics, with the COO or Director of Accounting

• Director of Accounting , 30 minutes: Assess technical accounting fluency, cross-functional working style between Finance and Accounting, and operational rigor on commissions and close processes

• On-site Executive Panel: A final meeting at the office with the President and core team to assess cultural fit and strategic vision

Our Core Values

Values are a social contract that we have with our team, our users, and our communities. They are guiding lights as well as argument-enders, and we expect results delivered in a way that is consistent with these values.

Trust is our Foundation

We create value by building trust in our company, our team, and our technology. That goes in all directions, not just between us and our customers but also amongst ourselves. We approach conflict with empathy and curiosity, and ascribe best intentions to all of our collaborators.

Work Hard and Smart

This is a startup, and we will act like one. We prioritize impact, take personal ownership of outcomes, act decisively, and get our hands dirty in the process. We communicate clearly, avoid over-engineering, and take risks. This allows us to be creative, innovative, and solution-oriented.

Default to Transparency

We will not succeed in information silos. We share the good, bad, and ugly about what is happening in our company, which requires us to pay attention, always measure what matters, and hold each other accountable.

Belonging

In our workplaces, communities, and ecosystems, we shape environments where people feel a sense of belonging. To do this, we work to ensure that stakeholders of all backgrounds are treated equitably and experience psychological and physical safety. This is key to their relationship with our company, their access to opportunities, and their ability to thrive.

Treasure the Fun

We are incredibly lucky to be here , let’s make memories. We will all spend that extra bit of time and energy to energize each other with fun and inspiring experiences. This applies internally and externally, from the smallest interactions to the largest events.

You’ll do great if you:

• Take ownership without waiting for permission

• Ask “what’s actually needed?” instead of defaulting to precedent

• Use AI as leverage to clarify thinking, improve communication, synthesize information, and accelerate execution

• Actively seek out and act on feedback to raise your own bar

• Dig until you understand the real problem, not just the surface request

• Make those around you more effective

You’ll get:

• Collaborative teammates and a culture built on trust and accountability

• Competitive compensation and equity

• Comprehensive healthcare coverage for you and your family

• Remote-flexible with access to co-working spaces in your area

• Learning, wellness, and WFH stipends

• Flexible time off

• Paid parental leave

• …and more!

XML job scraping automation by YubHub

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.

Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Connected Warfare division’s Mission Command team builds, deploys, integrates, extends, and scales Anduril's software and hardware to deliver mission-critical capabilities to our customers. As the software engineers closest to Anduril customers and end-users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end-to-end delivery of winning capabilities such as Lattice Mesh, Joint All Domain Command & Control, and Anduril's Menace Family-of-Systems.

As a Software Engineer on the Mission Command team, you will build the foundation for a first-of-its-kind platform designed for the tactical edge, solving novel problems across networking, autonomy, systems integration, robotics, and next-generation distributed data layers. Powering resilient, machine-speed decision-making for warfighters and allies,even in contested, disconnected environments,your work will ensure Anduril’s products seamlessly work together and with third parties to deliver customer value.

Driven by a “Whatever It Takes” mindset, the Mission Command team balances intentional, long-term system design with the pragmatic tradeoffs needed to meet immediate customer needs. By keeping the mission top-of-mind, you will make sound, scalable engineering decisions to deliver high-quality, expedient software that preemptively addresses the national security challenges of the future.

WHAT YOU’LL DO

• Own software solutions spanning core mesh platforms, data interfaces, and release management deployed directly to customers to scale critical mission capabilities.
• Deliver well-architected systems using modern software engineering practices,including code and design reviews,while championing scalability, reliability, testability, portability, and maintainability.
• Drive software solutions end-to-end, partnering closely with end-users to translate complex needs into features while balancing user experience with engineering constraints.
• Collaborate across multiple teams to plan, build, and test complex, cross-functional functionality.
• Ensure system health and rapid resolution by creating and analyzing monitoring metrics, triaging production issues, root-causing failures, and coordinating next steps.
• Travel 10% – 30% of the time to meet customers wherever in the world they are, collaborate with teammates across the globe, understand real-world operating conditions, and build, test, and deploy capabilities directly in the field.

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret Clearance
• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Networking, Mathematics, or Physics
• At least 3-10+ years working with a variety of programming languages such as Go, Python, Java, C++, Rust, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• A desire to work on critical software that has a real-world impact

PREFERRED QUALIFICATIONS

• Experience working with and designing distributed systems
• Proven ability to deliver high-quality results at pace, ideally within a startup or high-growth environment
• Deep networking experience, especially for distributed systems operating in non-standard networking conditions
• Familiarity with industry standard cloud platforms (AWS, Azure) and software infrastructure fundamentals (networking, security, distributed systems)
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node
• Professional software development lifecycle experience using tools such as version control, CICD systems, etc.
• Familiarity with industry standard monitoring, logging, and data management tools and best practices

US Salary Range $166,000-$253,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

## Data Privacy

To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis

XML job scraping automation by YubHub

JOB DESCRIPTION: Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Anduril Imaging team develops state-of-the-art imaging systems across both hardware and software, deployed to tackle the most significant security challenges of America and its allies. The team is heavily involved in utilizing computer vision, perception, electro-optical, infrared, and sensor data to give the US and its allies an advantage.

ABOUT THE JOB

As a Senior Electrical Engineer on the Anduril Imaging team, you will own the electronics architecture for space-bound imaging payloads and drive their design from concept through flight. This is a system-level role for an engineer who can hold the whole payload in their head , defining the electrical architecture, making the build-versus-buy and COTS-versus-rad-hard tradeoffs that keep schedule and cost in check, and then going hands-on to lay out, bring up, and qualify the hardware. You will set the technical direction for power, sensor, and interface electronics, and remain hands-on to see your individual designs take flight. You will work in rapid design cycles where the goal is to get capable, robust hardware into space in twelve months or less. You will make well-informed engineering judgments about which requirements are load-bearing and which aren't, iterate on real hardware, and demonstrate the discipline to design for manufacturability and test from day one. You will operate with a high degree of autonomy and be a technical anchor for less experienced engineers on the team.

WHAT YOU’LL DO

• Own the electrical architecture for imaging payloads, partitioning the system, defining power, sensor, data, and interface electronics, and driving the architectural tradeoffs (COTS vs. rad-hard, performance vs. schedule vs. cost) that enable a sub-12-month path to orbit.
• Lead the design, layout, bring-up, and qualification of PCBAs spanning analog, digital, mixed-signal, and power electronics for EO/IR sensor systems.
• Translate sensor and system performance models into electrical requirements, and push back on requirements that don't earn their place on the critical path.
• Drive rapid design-build-test cycles: prototype quickly, characterize on the bench, iterate on real hardware, and converge on flight-ready designs without unnecessary cycles.
• Design for the space environment (radiation, thermal extremes, vacuum, vibration, and launch loads) and own the analysis and testing (TVAC, vibe, EMI/EMC) that proves it.
• Bake in design for manufacturability and assembly (DFM/DFA) from the first schematic so designs scale cleanly toward low-rate production as programs mature.
• Lead board bring-up, integration, and troubleshooting in the lab and during environmental and integration testing, using standard bench equipment (oscilloscopes, logic analyzers, power supplies, DMMs, etc.).
• Partner closely with firmware, optics, mechanical, systems, and program teams to drive integration and close out anomalies fast.
• Mentor and provide technical guidance to other electrical engineers, and serve as a design-review and decision-making anchor for the electronics scope.
• Document architectures, designs, analyses, and test results to a standard that supports flight readiness and program reviews.

REQUIRED QUALIFICATIONS

• 8+ years of experience in electrical engineering spanning system-level architecture, electronics design, and hands-on test, with a track record of owning designs end to end.
• A degree in Electrical Engineering or equivalent.
• Demonstrated ownership of electronics architecture for a complex electromechanical or sensor system, including the tradeoff decisions that shaped it.
• Strong analog, digital, mixed-signal, and power electronics design experience, with deep schematic capture and PCB layout proficiency.
• Proven ability to take hardware from architecture through bring-up, integration, and qualification , including hands-on debug in the lab.
• Experience delivering hardware on aggressive timelines and working in rapid, iterative design cycles.
• Excellent engineering judgment, problem-solving, and the ability to make sound decisions with incomplete information under schedule pressure.
• Ability to collaborate effectively across a multidisciplinary engineering team.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• 8+ years of experience in electrical engineering spanning system-level architecture, electronics design, and hands-on test, with a track record of owning designs end to end.
• Direct experience designing electronics for space, especially New Space / commercial-cadence programs that flew hardware in a year or less.
• Familiarity with the space environment and qualification: radiation effects (TID/SEE), rad-hard and rad-tolerant part selection, COTS-for-space approaches, TVAC, vibration, and EMI/EMC.
• Experience with EO/IR, RF, optical, or other sensor and communication systems.
• Experience designing for manufacturability and assembly, and transitioning proven designs toward low-rate production to make them more robust and lower cost.
• Familiarity with analytical tools and programming languages such as MATLAB, Python, or C++.
• Understanding of system integration processes and workflows in aerospace or defense environments.
• Experience mentoring engineers and leading design reviews.

US Salary Range $126,000-$167,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package.

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We’ve observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:

XML job scraping automation by YubHub

You are comfortable working end to end, collaborating effectively with R&D peers and customer-facing teams to align technical solutions with product goals. You are self-motivated and results-oriented, with a strong appreciation for clean design, high code quality, and continuous improvement, and you are eager to learn new technologies and tools that enhance productivity and product excellence.

Actively design, implement, and deliver core enhancements to the Formality ECO technology with a strong hands-on focus. Maintain, debug, and enhance existing functionality, driving measurable improvements in patch quality, tool performance, and memory utilization. Lead technical investigations, root-cause complex issues, and implement robust fixes across large, production-grade ECO's. Collaborate closely with Synopsys R&D peers and customer support to translate real customer ECO challenges into practical, high-impact solutions. Champion best practices in code quality, testing, and design, contributing to the long-term health and evolution of the product.

Ensure the robustness, reliability, and performance of world-class ECO solutions that are integral to global chip design workflows. Drive continuous quality enhancements that have a direct and measurable impact on customer success and satisfaction. Advance formal and practical ECO verification methodologies, reinforcing Synopsys' position as an industry leader. Contribute to the delivery of scalable, high-performance solutions capable of meeting the stringent requirements of next-generation semiconductor designs.

Bachelor's degree in Electrical, Electronics, or Computer Science Engineering with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience. Strong software development experience in C++ on UNIX/Linux platforms and knowledge of EDA flows. Proficient in data structures, algorithms, and their practical use cases, including system design. Experience working with large, complex code bases in commercial software tools. Familiarity with modern developer productivity tools such as Cursor or GitHub Copilot. Exposure to scripting languages like Python, TCL, Perl & shell scripting. Familiarity with HDL languages such as Verilog or System Verilog, or a willingness to learn their nuances. Knowledge of Logic Equivalence Checking (LEC) is a plus. Effective communication and presentation skills for technical discussions.

A strong analytical and critical thinker with a keen attention to detail. An effective communicator, comfortable collaborating across teams and engaging with customers. Self-motivated and proactive, with a drive to identify solutions and move initiatives forward. Adaptable and resilient, thriving in fast-paced, dynamic environments. A collaborative team player committed to continuous learning and improvement.

You'll join the Formality ECO R&D team, a fast-paced group focused on solving complex challenges in generating high-quality, functionally accurate ECO patches with aggressive turnaround time goals. The team emphasizes patch minimality, correctness, and reliability for large designs while continuously improving product quality.

XML job scraping automation by YubHub

Internship Experience: At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

What You'll Be Doing:

• Develop technical expertise in at least one Ansys Optics product: Lumerical, Speos, or Zemax.
• Create new simulation methodologies, troubleshoot problem set-ups, run simulation benchmarks, and update industry best practices for modeling and simulation of engineered products and processes.
• Develop scripts and automation routines to support customer workflows.
• Support the team by conducting demonstrations, webinars, online training, and other meetings as needed.
• Collaborate with product development teams to translate customer requirements into exciting new product features and test new releases of Ansys products on industrial problems.
• Assist in reviewing and updating online tutorial content.
• Write detailed technical reports and present results to global teams.
• Network within the Customer Excellence team to learn about pre-sales support, post-sales technical support, consulting services, and more.

What You'll Need:

• Currently pursuing a Bachelor’s degree in Optical Engineering, Optical Sciences, Applied Physics, or a related field.
• Minimum 3.0 GPA in graduate studies, or 3.5 in undergraduate studies.
• Logical problem-solving abilities, strong interpersonal and communication skills, and fluency in written and spoken English.
• Demonstrated experience with optical modeling tools (e.g., Ansys Zemax OpticStudio, Ansys Speos, Synopsys CodeV, etc.).

Nice To Have:

• Currently enrolled as an engineering graduate student (M.S. or Ph.D.) in an accredited United States university (Ph.D. students should be entering third year or beyond of their program).
• Experience with programming languages such as Matlab, Python, Mathematica, C++, or C#.
• Experience with programming repositories (e.g., GitHub, Mercurial), AI & LLMs (Copilot, Claude, Cursor, etc.), and customer-facing or leadership roles.
• Proficiency in developing learning plans and teaching in technical settings, and knowledge of CAD packages (e.g., SolidWorks, NX, Catia).

Key Program Facts:

• Program Length: 3 months
• Working Model: Remote
• Full-Time/Part-Time: Full-Time
• Start Date: Fall 2026

XML job scraping automation by YubHub

Responsibilities:

• Design, build, and deploy autonomous robotic systems.
• Develop planning, perception, and control systems using modern machine learning and robotics techniques.
• Research and implement state-of-the-art approaches in embodied AI, transformer architectures, reinforcement learning, and robot learning.
• Integrate sensors, actuators, perception systems, and control frameworks into robust production systems.
• Help define the long-term technical direction of Fuse's robotics program.

Requirements:

• Strong experience building and deploying robotic systems in real-world environments.
• Expertise in Python and at least one systems programming language such as C++.
• Experience with robotics frameworks such as ROS2.
• Strong understanding of motion planning, robot control, computer vision, and perception systems.
• Experience training and deploying machine learning models.
• Familiarity with transformer architectures, reinforcement learning, imitation learning, or robot learning techniques.
• Strong problem-solving skills.
• Comfortable working in a fast-moving startup environment.

Nice to Have:

• Experience working on embodied AI or robotic foundation models.
• Publications or significant contributions within robotics or machine learning.
• Experience with manipulation, mobile robotics, or industrial robotics.
• Experience taking robotics products from prototype through deployment.
• Interest in energy and industrial automation.

Benefits:

• Competitive salary and an equity sign-on bonus.
• Biannual bonus scheme.
• Fully expensed tech to match your needs.
• Paid annual leave.
• Breakfast and dinner allowance for office-based employees.

XML job scraping automation by YubHub

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate, and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

The Gameplay team on EA Sports FC is at the core of the user experience. It is the strength of our franchise and is valued tremendously in the company. We attract passionate team members and make sure they stick around by providing support and growth opportunities. Gameplay SEs are much more involved in design than typical SEs, because even though high-level designs are provided by designers, details need to be implemented by the SEs. You will report into the Development Director of Gameplay.

Our workflow and supporting tools are advanced and allow us to work and iterate quickly, which in turn allows us to see our code changes directly in the game without much delay. Fixing gameplay bugs and seeing your code in action on the virtual pitch in a matter of minutes is an extremely satisfying experience.

Your Responsibilities:

• Bring the vision of the artists and designers to life.

• Design and write the code that runs and controls the game, incorporating and adapting existing libraries and writing custom code

• Prototype new mechanics to prove designs and improve on mechanics.

• Design technical designs for Gameplay systems.

• Develop tools and workflows to produce new game features.

• Work with a proprietary engine to develop shareable code and interface correctly with the engine.

Your Qualifications:

• Bachelor's degree in computer science or related field, or equivalent training and professional experience

• Proficiency with C++ and experience in object-oriented design and implementation

• Experience architecting and implementing A.I., character control, multiplayer, or other gameplay-related systems

• Demonstrated knowledge of good software programming practices

• Understanding of multithreaded architectures and synchronization principles

• Excellent debugging experience using tools to help debug

• Understand performance implication of Gameplay systems & algorithms and how to improve.

XML job scraping automation by YubHub

EA SPORTS is one of the most iconic brands in entertainment with over 25 years of innovation, passion, and connecting millions of players across the globe to their favorite sports, teams, and players. The EA SPORTS UFC franchise offers the electrifying spectacle and entertainment of MMA for over 20 million players across the globe, delivering fluid and responsive mixed martial arts through inventive gameplay technology.

Located in Vancouver, British Columbia, the EA SPORTS UFC team is on a mission to become the world's greatest fighting game. If you're passionate about building immersive digital entertainment, this is the role of a lifetime.

We're looking for a Systems Software Engineer or someone interested in expanding their knowledge in the Systems area. Our systems engineers maintain a broad view of the game and engine systems and look for ways to improve performance, utility, and capabilities for our players and workflow enhancements to our development team. Above all, we’re looking for an engineer who is excited to use their talent and experience to build AAA quality games.

Your Responsibilities:

Work with other engineers across the game team to integrate, develop and debug core technologies and features in a large codebase, merging modern and legacy designs across multiple hardware architectures.

Manage and optimize memory, load times, and performance.

Debug a range of defects in development environments.

Look for ways to increase team efficiency through automation, tooling, or workflow enhancements.

Contribute to core EA technologies to promote collaborative development efforts.

Work with technical and non-technical co-workers to create practical technical designs that meet players’ expectations.

Your Qualifications:

Please note that you do not need to meet all qualifications to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.

3+ years of C++ development experience.

Ability to learn, test, debug, and extend other software engineer's code.

Knowledge of software engineering and architectural design.

Understanding of memory management, file systems, multi-core processing, and performance.

Experience with profiling tools to monitor and diagnose issues.

Experience with build systems, pipelines, and source control.

Experience with codebases supporting multiple compilers and architectures.

Experience communicating and collaborating with external team members or teams.

Experience integrating and maintaining large-scale systems and legacy codebases, covering multiple disciplines.

Experience with multiple programming languages (Python, Lua, C#).

Pay Transparency - North America

COMPENSATION AND BENEFITS The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

£104,500 - £142,800 CAD

Pay is just one part of the overall compensation at EA.

For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

XML job scraping automation by YubHub

EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, EA Sports FC, NHL hockey, NBA LIVE basketball, and EA SPORTS UFC.

After nearly 30 years of creating genre-defining, interactive football experiences with the world's biggest football entertainment platform, EA SPORTS FIFA, we are soon beginning a new era. EA SPORTS FC will become the future of football from EA SPORTS – as we aim to take global football experiences to new heights, on behalf of football fans everywhere. With more opportunity than ever to create new, authentic experiences that bring joy, inclusivity, and immersion to a global community of fans, we invite you to join us and pioneer the future of football with EA SPORTS!

As the Lead Online Software Engineer, you will lead the Online engineering area for the EA SPORTS FC franchise, owning execution against the technical vision and the long-term health of the systems that connect our players at massive scale. You will report to the Technical Director and guide a distributed team of 20+ engineers across multiple locations and time zones, owning the delivery of multiplayer, networking, platform, backend, and live service technologies. Working closely with production, design, QA, platform, security, and other engineering leaders, you will ensure online features are performant, reliable, scalable, secure, and ready for launch and live operations. You will balance strategic leadership with deep technical involvement, helping the team solve complex distributed systems challenges while building a strong engineering culture focused on quality, accountability, collaboration, and player experience.

Your Responsibilities:

• Lead the Online engineering area for the EA SPORTS FC franchise, acting as the subject matter expert for online systems and driving execution, quality, and long-term system health in alignment with the technical direction set by the Technical Director.

• Guide, mentor, and coordinate a distributed team of 20+ engineers across multiple locations and time zones.

• Own the delivery of core online systems, including multiplayer networking, matchmaking, sessions, identity, platform services, telemetry, commerce, persistence, backend integrations, and live service infrastructure.

• Partnering with production and operations leads to plan, prioritize, and deliver Online features across milestone, launch, and post-launch schedules.

• Review and guide technical designs for complex distributed, client/server, peer-to-peer, multithreaded, and real-time multiplayer systems.

• Ensure Online systems meet high standards for performance, scalability, reliability, security, maintainability, and player experience.

• Drive engineering best practices across the team, including technical design reviews, code reviews, testing strategies, documentation, incident prevention, and sustainable development processes.

• Identify technical risks early, communicate tradeoffs clearly, and drive mitigation plans across teams and disciplines.

• Oversee integration with first-party platform services, third-party APIs, account systems, matchmaking services, telemetry pipelines, and other external online services.

• Collaborate with platform teams to ensure compliance with Microsoft, Sony, Nintendo, and other platform requirements, including certification and online service policies.

• Partner with central technology teams across the company to integrate shared backend services, online infrastructure, and internal platform capabilities, ensuring they meet the franchise's technical, production, and player experience needs.

• Support launch readiness by driving performance testing, scale testing, reliability reviews, failure-mode planning, and operational readiness for online systems.

• Lead the team through live issues, production incidents, and post-launch improvements, ensuring effective investigation, communication, resolution, and follow-up.

• Establish clear ownership models, escalation paths, and communication rhythms for a distributed Online engineering team.

• Coach engineers on architecture, execution, communication, decision-making, and career growth.

• Balance hands-on technical involvement with strategic leadership, stepping into complex architectural, debugging, performance, or production issues when needed.

• Foster a culture of technical excellence, accountability, collaboration, operational discipline, and player-focused decision-making.

Your Qualifications:

Please note that you do not need to qualify for all requirements to be considered. We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialog to be considered.

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline, or an equivalent combination of education, technical training, and industry experience.

• 10+ years of professional software engineering experience, including significant hands-on experience with C++ in performance-critical, real-time, or large-scale systems.

• 5+ years of experience developing online, multiplayer, networking, backend, or distributed systems for games or other real-time interactive products.

• 3+ years of engineering leadership experience, including leading senior engineers, shaping technical recommendations, reviewing architecture, and driving execution across multiple teams or feature areas.

• Proven experience leading an Online, Multiplayer, Networking, Backend, Platform, or Live Services engineering area on a large-scale game or comparable high-traffic consumer product.

• Deep understanding of Client/Server, Peer-to-Peer, real-time multiplayer, multithreaded, and asynchronous system architectures.

• Strong knowledge of game networking concepts, including latency, bandwidth management, replication, prediction, synchronization, matchmaking, session management, and platform network requirements.

• Experience shipping and supporting at least one large-scale multiplayer, live service, or AAA game through production, launch, and post-launch operations.

• Experience integrating, owning, or supporting third-party APIs, platform services, account systems, matchmaking services, commerce systems, telemetry, or other external online services.

• Experience developing for Microsoft, Sony, and Nintendo gaming platforms, including familiarity with platform SDKs, certification requirements, and online service constraints.

• Strong working knowledge of backend service architecture, distributed systems, databases, caching, scalability, reliability, observability, and operational support.

• Working knowledge of relational databases such as MySQL or PostgreSQL, NoSQL databases such as MongoDB, and in-memory data stores such as Redis.

• Practical experience working with dedicated server environments, including build pipelines, deployment workflows, log analysis, crash investigation, and server-side debugging.

• Proficiency with modern development, debugging, profiling, and performance analysis tools, including Visual Studio and platform-specific tooling.

• Experience using source control and version control systems.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

EA SPORTS is one of the leading sports entertainment brands in the world, with top-selling videogame franchises, award-winning interactive technology, fan programs, and cross-platform digital experiences. EA SPORTS creates connected experiences that ignite the emotion of sport through industry-leading sports video games, including Madden NFL football, FIFA soccer, NHL hockey, and EA SPORTS UFC.

Our Advanced Technology Group is part of the EA SPORTS Technology organization, focusing on identifying and creating new, scalable technologies for game teams. We closely collaborate with game teams, central art teams, and the Frostbite engine team; though the technologies developed can apply to many different engines, environments, and hardware platforms. You will work on our strategic, multi-year projects focused on user-generated experiences, improved creation pipelines and runtime functionality, both internal and player facing, for all EA SPORTS titles.

As a Generalist Software Engineer, you will be a part of the game creation process, including architectural design, implementation, and debugging on multiple platforms,working on complex problems with Designers, Artists and other Engineers in domains including rendering, gameplay, audio, user interface, online, physics, databases, and tools. You will report to the team's manager and work with your peers on developing the game's foundation layer.

Your Responsibilities:

• You will work on implementation of feature's core logic, game flows, and screens/components.
• You will work on technical solutions covering main areas of game development technologies, game features and optimizations of frame-rate and load-times
• You will provide feedback, guidance and solutions for improvement and optimizations
• You will work with other domain owners to integrate and develop technologies into the game
• You will analyze impact to above mentioned metrics throughout the development cycle

Your Qualifications:

• 6+ years of experience in C++ software development
• Proficiency in integrating and maintaining large-scale systems covering multiple domains
• Understanding of memory management, multithreaded job system and run-time optimization and job-based architectures might come in handy
• Knowledge of assembler, scripting languages (Python, Lua) and C#
• Experience with 3rd party APIs
• Skills debugging complex applications
• Strong understanding of geometry, linear algebra, calculus, and physics as they pertain to transformations and motions in 3D Space
• Bachelor's degree in computer science or related field, or equivalent training and professional experience
• Experience with any of these beneficial, but not required: XBOX and PlayStation platforms; Mobile, PC, or Cloud-based games, graphics libraries such as DirectX, OpenGL, or Metal

XML job scraping automation by YubHub

Responsibilities:

• Designing, implementing, and optimizing direct sparse solvers for existing and future GPU architectures
• Working with library engineers, QA engineers, and interns on all library development aspects from design to implementation and test to release and support
• Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries
• Finding and realizing opportunities to improve library quality, performance, and maintainability for sparse linear algebra libraries through re-architecting and establishing innovative software development practices

Requirements:

• PhD or MSc degree in Computer Science, Computational Science and Engineering, Applied Mathematics, or related science or engineering field (or equivalent experience)
• 5+ years of overall experience developing, debugging, and optimizing high-performance numerical software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads, or equivalent technologies
• Strong fundamentals in floating-point arithmetic, numerical analysis, and implementation of sparse linear algebra primitives like matrix-vector and matrix-matrix products and triangular solves
• Experience in developing, maintaining, and testing scientific computing libraries
• Strong collaboration, communication, and documentation habits.

Nice to Have:

• Familiarity with techniques in direct solvers such as reordering, multi-frontal factorizations, supernodal factorizations, numerical pivoting strategies, and iterative refinement
• Good knowledge of CPU and/or GPU hardware architecture and low-level GPU performance optimization
• Experience with adopting and advancing modern methods in software engineering such as CI/CD systems, project management tools like JIRA, and AI agents
• Understanding of large-scale computing technologies such as PDE solvers, eigenvalue solvers, and time-domain simulation methods (e.g., CFD, FEA)
• Working experience in a globally distributed and agile organization

XML job scraping automation by YubHub

We are advancing next-generation network technologies to support flexible, scalable, and intelligent connectivity across distributed cloud and edge environments.

At NVIDIA, you will work with a dedicated and cooperative team leading 6G and optical networking research. This role turns groundbreaking research into tangible results.

This opportunity allows you to contribute to an ambitious project focused on creating efficient topology management systems for real-time orchestration and control of complex network fabrics.

Responsibilities:

• Build and develop a lightweight Layer 1 (L1) topology manager using efficient data structures such as lookup tables and key-value stores.

• Build a Layer 2 (L2) topology manager to model cluster-level connectivity and underlying network fabrics.

• Contribute to the architecture and implementation of topology services within an ambitious collaborative research project.

• Work together on combining topology management with orchestration and control systems in cloud-native and AI cluster environments.

• Work closely with a dedicated team of researchers and engineers to advance 6G and optical networking technologies.

• Explore new ideas and translate innovative research into impactful real-world applications.

Requirements:

• Ph.D. in Electrical Engineering, Computer Science, or a related field, or equivalent experience.

• Demonstrated expertise in optical networking and topology management.

• Strong programming skills in languages such as Python, C++, or similar.

• Experience with data structures and algorithms, particularly in the context of network management.

• Demonstrated ability to work collaboratively in a research-focused environment.

• Excellent problem-solving skills and a proactive attitude.

Nice to Have:

• Experience with AI and cloud-native environments.

• Familiarity with Optical Circuit Switch (OCS) systems.

• Previous contributions to collaborative research projects.

• Strong publication record in relevant fields.

• Outstanding communication and teamwork abilities.

XML job scraping automation by YubHub

You'll contribute to hardware modeling, test development, and infrastructure , with increasing opportunities to influence the design of the world's leading AI platform.

Join our tight group spanning architecture, ASIC design, performance engineering, drivers, and tools to become a part of the extreme hardware-software codesign process that makes NVIDIA's world-leading AI platform possible!

Responsibilities:

• Build and maintain functional and performance models for GPU hardware features
• Write and execute test plans to validate designs across configurations
• Contribute to infrastructure that supports the hardware development process
• Collaborate with architects, ASIC designers, and software engineers across teams
• Develop deep knowledge of GPU architecture and the performance analysis domain

Requirements:

• Pursuing or recently completed a M.S. or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field or equivalent experience (recent graduate or graduating by summer 2026)
• Foundation in computer architecture and AI workload acceleration
• Programming skills in C++ and Python
• Coursework or project experience in performance modeling, hardware simulation, or verification
• Strong communication skills for working across multi-functional teams

Ways to stand out from the crowd:

• Experience with SystemC or other hardware modeling frameworks
• Research in GPU architecture or AI acceleration
• Hands-on experience with CUDA or other accelerated computing programming models
• Contributions to hardware or architecture projects (academic or open source)
• Familiarity with profiling tools or performance analysis

NVIDIA is widely considered one of the technology world's most desirable employers. We work on problems that matter , and we do it with some of the most skilled engineers in the world. If you're analytically sharp, intellectually curious, and ready to have real impact, we want to hear from you.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

XML job scraping automation by YubHub

As a Senior Verification Engineer, you will work with some of the best engineers to define verification strategies and complete plans at the full chip level. You will build and continuously reform verification infrastructure and methodologies to meet the demands of next-generation SoCs.

Key responsibilities include:

• Collaborating with architects, RTL designers, FPGA, and emulation engineers to ensure verification requirements are met for each project.

Requirements include:

• Bachelor's Degree in EE, CS, CE, or equivalent experience.
• 5+ years of relevant experience in ASIC DV.
• Outstanding analytical and problem-solving skills.
• Experience in crafting testbenches and methodologies for large and complex chips.
• Deep understanding of verification concepts.
• Proficiency with at least one of these: C++, Object-Oriented Programming, UVM, System Verilog.
• Familiarity with verification challenges in large-scale builds.
• Solid understanding of basic concepts of CPU or SoC architecture.
• Experience with verification of SoCs with embedded processors or CPU verification.

You will also be eligible for equity and benefits.

XML job scraping automation by YubHub

Ford's Research and Advanced Engineering team takes new ideas from theory to reality. Every day, we develop advanced energy management and propulsion technologies, create cutting-edge materials and manufacturing processes, and curate world-class cabin experiences that redefine what it means to drive a Ford.

Responsibilities:

• Deliver key software framework functionality in the development of Advanced Driver Assist System (ADAS) technologies at Ford.
• Deliver industry-leading software development capabilities to support high-demand features.
• Work closely with the ADAS feature teams to deliver software solutions to support the development of critical software products.
• Participate in the design and implementation of core infrastructure frameworks on embedded devices in C++.
• Contribute to development of offboard support tooling in Python.
• Design and execute test tooling for software verification and validation.
• Facilitate integration, testing, and debugging of developed software on target embedded hardware platforms.
• Follow and help shape a process for rigorous production software development and delivery.

Qualifications:

• Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Software Engineering or a related field and 5 years of experience in the job offered or a related occupation.
• 3 years of experience with each of the following skills:
• Develop AUTOSAR and MISRA compliant embedded software in modern C++ for automotive applications.
• Utilize Python and bash scripting to create embedded and offline tooling.
• Employ MATLAB scripts and tools for embedded development and data processing.
• Develop software within a ROS environment and use ROS tools for logging and visualization.
• Manage version control effectively by leveraging GitHub features to work with large and complex multilanguage codebases.
• Perform testing and debugging of embedded software on embedded hardware using QNX tools.
• Handle Ethernet, CAN, and CAN FD data for embedded communication, logging, debugging, and testing, utilizing tools CANalyzer and CANoe Vector tools.
• Design and develop algorithms for automotive features and tooling using sensor data camera, radar, and lidar inputs.
• Develop production embedded software in RTOS development environments.
• Utilize enterprise requirements management software (Jama or Polarion), to develop and review requirements and establish traceability.

We are offering a salary of $138,486.00 - $171,814.44/yr.

XML job scraping automation by YubHub

As a Senior Robotics Software Engineer, you will be responsible for writing algorithms that ingest raw data from multiple onboard sensors and fuse them into a single, highly accurate picture of the world. You will also help build the protocols that allow multiple physical robots to share tracking data, coordinate search patterns, and achieve 'effects at mass' as a cohesive swarm.

The ideal candidate will have a strong math/algorithms foundation, be familiar with writing application-level software that runs onboard physical systems, and have experience with electrical sensor integration. You should also be proficient in C++, Rust, and Python, and have a good understanding of modern build tools like Nix.

_a key responsibility is to write highly optimized, low-latency code that runs onboard Linux-based compute modules on multi-domain unmanned systems._

_We use Nix for deterministic, reproducible builds and deployment on our hardware platforms, alongside C++, Rust, and Python._

_The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations._

XML job scraping automation by YubHub

Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Software Engineers on Air Defense are driven by a “Whatever It Takes” mindset,executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

Responsibilities

• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, frame transformations, targeting and guidance, etc.
• Own major feature development and rollout of large, complex features for our products. This includes systems analysis, sensor selection and integration, perception architecture and implementation, motion planning, health management, behavior analysis, simulation and test infrastructure, and interfaces with lower- and higher-level systems.
• Implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces
• Work closely with Anduril and 3rd party robotic platform hardware teams, as well as operational subject matter experts to align on requirements during product development and iterate towards a final design.

Requirements

• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
• 3+ years of C++ or Rust experience in a Linux development environment
• Demonstrated experience leading projects or teams with the ability to inspire, mentor, and grow other engineers.
• Proven understanding of data structures, algorithms, concurrency, and code optimization
• Experience troubleshooting and analyzing remotely deployed software systems
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

Preferred Qualifications

• MS, ideally in areas/fields such as Robotics, Computer Science, Software Engineering
• Experience programming for embedded and physical devices
• Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Understanding of systems software (kernel, device drivers, system calls) and optimizing for limited resources
• Experience with sensor characterization and analysis

XML job scraping automation by YubHub

GNC Engineer

LOCATION

Seattle, Washington, United States

DEPARTMENT

Tactical Recon & Strike

JOB DESCRIPTION

We are looking for a senior GNC Engineer who thrives on building cutting-edge technology from scratch and seeing their creations immediately deployed in the field.

ABOUT THE TEAM

The Tactical Recon & Strike team at Anduril develops aerial small drones (Group 1-3) and all equipment to test, deploy and operate. The team is responsible for taking products like Ghost, Anvil, Bolt and Altius from concepts to operational systems.

ABOUT THE JOB

This is a senior role for an Algorithm Developer (Localization/GNC) who will be a central architect in shaping Anduril's technical moat in GPS-denied navigation, driving the development of core vision-based navigation (VBN) and advanced sensor fusion algorithms.

RESPONSIBILITIES

• Design, implement, and rigorously validate advanced GPS-denied navigation algorithms, including Vision-Based Navigation (VBN), advanced Map Matching, and high-fidelity sensor fusion for state estimation.
• Drive ground-up algorithm development from theoretical concepts through high-fidelity simulation, Hardware-in-the-Loop (HIL) testing, and rapid flight validation on multiple physical hardware platforms.
• Collaborate intimately with Computer Vision, Flight Software, and Simulation teams to define requirements, integrate solutions, and push the boundaries of autonomous navigation in contested environments.
• Analyze extensive flight test data from diverse platforms (e.g., Altius, Ghost, manned aircraft) collected across varied, challenging environments to identify performance gaps, refine algorithms, and debug complex incidents.
• Contribute strategically to the growth of Anduril's technical moat in navigation, including areas like collaborative navigation and precise terminal guidance for challenging operational scenarios.
• Mentor junior engineers and champion best practices in algorithm design, validation, and continuous integration within a fast-paced, high-impact environment.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Robotics, Aerospace Engineering, Electrical Engineering, Computer Science, Physics, or a related technical field with a strong focus on dynamic systems, estimation, or control.
• 8+ years of professional experience in GNC, localization, or advanced state estimation roles, preferably in demanding real-world applications (e.g., defense, aerospace, robotics).
• Deep expertise in state estimation and sensor fusion, particularly with various Kalman filter types (e.g., EKF, ES-EKF, UKF, Invariant Filters) and their practical implementation.
• Proficiency in C++ (preferred) and/or Python for algorithm development and real-time embedded systems implementation.
• Extensive experience with vision-based navigation (VBN) techniques (e.g., VIO, VSLAM, feature tracking, optical flow) or robust map matching/geo-registration algorithms.
• Proven ability to develop, test, and debug algorithms in real-time embedded environments on physical hardware.
• Experience with modeling and simulation of dynamic systems and sensor phenomenology.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Master’s Degree or PhD in a relevant technical field.
• Experience with terrain contour matching (TERCOM) or other non-GPS absolute localization methods utilizing diverse sensor inputs (e.g., LRF, Radar Altimeters, Star Trackers/Celestial Navigation).
• Familiarity with diverse sensor modalities for navigation (e.g., IMU, Baro, LRF, Radar Altimeters, EO/IR) and their specific noise characteristics and modeling.
• Experience with distributed or collaborative navigation systems, leveraging inter-platform measurements.
• Track record of successfully bringing complex algorithms from theoretical concepts through to deployed products on physical hardware.
• Proficiency with modern software development practices (e.g., CI/CD, Git, automated testing frameworks).
• Demonstrated ability to "wear many hats" and thrive in a fast-paced, high-impact, and highly collaborative startup environment.

SALARY RANGE

$166,000-$220,000 USD

BENEFITS

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.

XML job scraping automation by YubHub

• Have experience building backend software or developer tooling that real users depend on, and want to grow that experience on a DevInfra team supporting a high-stakes defense program.

• Want to own meaningful pieces of shipped work , backend services, pipelines, tooling, and infrastructure , alongside senior engineers who will give you feedback and context.

• Love building platform and infrastructure tooling that enables other software engineers to scale their output.

• Enjoy working end-to-end on a problem: writing the Go/Python service, standing up the AWS infrastructure via Terraform, wiring it into CI, and debugging it when it misbehaves in production.

• Are curious about the layers you haven't touched yet and ready to learn them on the job.

• Are a U.S. Person because of required access to U.S. export controlled information, and are eligible to obtain and maintain an active U.S. Top Secret security clearance.

NICE TO HAVE

• At least 3+ years working with a variety of programming languages such as Rust, Go, C++, Java, Python, JavaScript/TypeScript, etc.

• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.

• Experience building backend software systems with various data storage and processing requirements.

• Experience with industry-standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems).

• Experience with modern build and deployment tooling (e.g. NixOS, Terraform).

• Ability to quickly understand and navigate complex systems and established code bases.

• Familiarity with industry-standard monitoring and logging tools.

• A bias toward rapid delivery and iteration.

• You've built or invented something: an app, a website, a game, a startup.

• Previous experience working in an engineering setting: a startup (or startup-like environment), engineering school, etc. If you've succeeded in a low-structure, high-autonomy environment you'll succeed here.

• Exposure to containers, SBOM tooling, or vulnerability scanning (Syft, Grype, Trivy).

• Prior work on a platform, devinfra, SRE, or developer-productivity team.

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

Protecting Yourself from Recruitment Scams

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

• Please always verify communications:

• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy

XML job scraping automation by YubHub

You will own the hot path - real-time feature computation, signal generation, and Integration with the firm's shared execution and market data platforms - and play a foundational role in shaping the technology stack from day one.

This is a hands-on role at the intersection of systems engineering and quantitative research. You will work directly with the Portfolio Manager and quantitative researchers to translate alpha signals into production-ready, high-performance trading systems.

Principal Responsibilities:

• Design and build the core C++ signal engine: real-time feature computation, alpha signal generation, position tracking, and risk monitoring

• Architect the data bridge between the C++ hot path and the Python/Polars research layer

• Implement and optimize real-time alpha signal publication from the research pipeline into the firm's shared execution infrastructure

• Integrate with the firm's central market data feeds and execution platforms

• Develop real-time risk checks, position monitoring, logging, and alerting infrastructure

• Optimize system performance: latency profiling, lock-free data structures, memory management, and network tuning

• Collaborate closely with quantitative researchers to understand strategy requirements and translate prototypes (Python) into production-grade C++ code

• Leverage Al-assisted development tools (Cursor, Claude Code) to accelerate development velocity while maintaining code quality

• Build and maintain backtesting and exchange simulation infrastructure for strategy validation

Required Skills / Qualifications:

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field

• 3+ years of hands-on experience developing high-performance C++ server-side applications in Linux

• Strong understanding of real-time and event-driven architectures with tight latency requirements

• Proficiency in Python with working knowledge of Polars, Pandas, NumPy, and the PyData ecosystem

• Deep familiarity with Apache Arrow and columnar data formats for cross-language interoperability

• Strong understanding of network programming, Linux OS internals, and systems optimization

• Experience consuming real-time market data feeds and integrating with shared execution platforms

• Solid understanding of data structures, algorithms, and concurrent/multithreaded programming

• Proficiency with Git, CI/CD, unit testing, and software engineering best practices

Preferred Skills / Experience:

• Experience building trading systems in a systematic equities or quant trading environment

• Familiarity with low-latency optimization techniques: cache-friendly data structures, SIMD, memory-mapped I/O

• Experience with Rust for performance-critical systems development

• Experience with kdb+/q for time-series data

• Knowledge of equity market microstructure, order types, and execution algorithms

• Experience with DuckDB, Arrow Flight, or similar analytical database technologies

• Familiarity with cloud infrastructure (AWS) and containerized deployments

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

You will design, implement, and train a custom decoder-only Transformer from scratch -not fine-tune an existing LLM, but build a purpose-built architecture for financial time-series. This is a long-term research project with significant computational resources.

Principal Responsibilities:

• Design and implement a custom decoder-only Transformer architecture optimized for tokenized financial time-series data
• Develop a novel tokenization scheme for intraday market data: price movements, volume, order flow, and cross-sectional features
• Implement efficient training pipelines using PyTorch with mixed-precision training, gradient checkpointing, and multi-GPU parallelism
• Design attention mechanisms adapted to financial data: temporal attention patterns, cross-asset attention, and multi-scale representations
• Build evaluation frameworks for next-token prediction accuracy, signal quality, and trading performance
• Implement inference optimization for low-latency production deployment: model quantization, KV-cache, speculative decoding
• Conduct rigorous ablation studies to validate architecture choices and training methodology
• Collaborate with the team to integrate model predictions into the live trading pipeline
• Document research methodology, experimental results, and architectural decisions

Required Skills / Qualifications:

• PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field with a focus on deep learning
• Demonstrated ability to implement Transformer architectures from scratch (not just fine-tuning pre-trained models)
• Deep understanding of attention mechanisms, positional encodings, tokenization strategies, and training dynamics
• Expert-level PyTorch skills including custom modules, training loops, mixed-precision, and multi-GPU training
• Strong mathematical foundations: linear algebra, probability theory, optimization, information theory
• Experience training models at scale (100M+ parameters)
• Strong programming skills in Python and C++ for performance-critical components
• Self-directed researcher capable of defining and executing a multi-month research agenda
• Familiarity with Al-assisted development tools (Cursor, Claude Code)

Preferred Skills / Experience:

• Experience applying deep learning to financial data or time-series forecasting
• Familiarity with tokenization approaches for continuous or non-text data
• Published research in top ML venues (NeurlPS, ICML, ICLR) or equivalent industry experience
• Knowledge of market microstructure and intraday trading dynamics
• Experience with model compression, quantization, and inference optimization

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

Job Description

As a Senior Verification Manager, you will lead and grow a distributed team of verification engineers and senior technical leads working on SERDES PHY mixed-signal verification across UVM simulation, co-simulation, emulation, and lab validation. You will debug priority regressions, customer escalations, and silicon correlation issues directly, working in SystemVerilog, UVM, co-sim environments, and firmware bring-up flows.

Responsibilities

• Lead and grow a distributed team of verification engineers and senior technical leads working on SERDES PHY mixed-signal verification across UVM simulation, co-simulation, emulation, and lab validation
• Debug priority regressions, customer escalations, and silicon correlation issues directly, working in SystemVerilog, UVM, co-sim environments, and firmware bring-up flows
• Own verification sign-off quality and release readiness for SERDES PHY IP, including testplan review, coverage analysis, checker effectiveness, and release evidence documentation
• Define and evolve UVM and mixed-signal co-simulation methodology, regression standards, reuse strategy, and automation frameworks using Shell, Perl, Python, and C++
• Partner daily with analog design, digital design, firmware, and applications teams to resolve technical blockers, align on test strategy, and close coverage gaps
• Represent verification in program reviews, customer technical engagements, and cross-functional release planning meetings
• Drive automation and AI-assisted regression triage where it measurably improves throughput, debug time, or coverage closure

The Impact You Will Have

• Ensure SERDES PHY IP releases meet sign-off quality for deployment in high-performance SoCs shipping to customers across automotive, data center, and AI markets
• Reduce time to root cause on mixed-signal bugs by building a team that knows how to read waveforms, correlate models to silicon, and close issues without escalation loops
• Establish verification methodology and reuse standards that scale across PCIe, Ethernet, and future high-speed serial IP families
• Grow senior verification engineers into technical leads who can own testplans, drive coverage closure, and mentor others through complex debug
• Improve regression efficiency and triage speed through targeted automation, better VIP integration, and smarter use of co-simulation and emulation platforms
• Strengthen customer confidence in Synopsys SERDES IP by delivering clean releases, fast escalation response, and credible technical partnership during bring-up
• Shape the technical direction of mixed-signal verification at Synopsys by contributing to tool selection, flow improvements, and cross-team best practices

What You'll Need

• 10+ years of hands-on ASIC mixed-signal verification experience with recent work in the last 3 to 5 years on debug, environment development, or sign-off
• 3+ years leading verification engineers or equivalent team lead scope, including hiring, performance management, and technical mentorship
• Deep experience with PCIe and/or Ethernet SERDES, high-speed serial links, DSP blocks, and clock/data recovery circuits
• Strong command of SystemVerilog, UVM, VIP integration, and coverage-driven verification methodology
• Proven ability in mixed-signal verification flows including co-simulation, analog/digital modeling, and lab or silicon correlation
• Scripting proficiency in Shell, Perl, Python, or C++ with the ability to review and contribute to automation infrastructure
• Credible technical judgment under schedule pressure, you know when to push for more coverage and when to ship with documented risk. Experience with TX/RX PMA, common-mode PLLs, firmware bring-up, or rate and power state flows is a plus. Distributed team leadership with hands-on technical engagement is a strong differentiator.

Who You Are

• You can step into a regression triage, pull up a waveform in Verdi or DVE, and guide an engineer to the root cause without doing the work for them
• You know the difference between a testplan that looks complete and one that actually covers the corner cases that break in the lab, and you push back when sign-off evidence is thin
• You are comfortable switching context between a hiring conversation, a firmware debug session, a customer call, and a coverage review, all in the same afternoon
• You build teams that stay technical, you hire people who want to understand the PHY, not just run regressions, and you create space for them to grow into senior leads
• You do not need perfect information to make a call, you work with what you have, align with design and firmware, and move forward without creating downstream chaos
• You care about automation and tools, but only when they solve a real problem, you will write a Python script to fix a triage bottleneck and you will kill a dashboard nobody uses

The Team You'll Be Part Of

Your recruiter will share more about the team structure and mission during the interview process.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

XML job scraping automation by YubHub

Key Responsibilities:

• Strong C++ programming skills
• Good Linux and Windows development & debugging experience
• Good Experience on Design Patterns, STL
• Experience with Visual Studio
• Ensure timely deliveries with agreed quality of all the tasks undertaken by the team

Requirements:

• Minimum 5-8 years’ experience overall with core experience in C++
• Expertise in the full software/project life cycle, including specifications, requirements analysis, design/architecture, implementation, testing, and maintenance
• Experience with Git/SVN/Perforce or other configuration management systems
• Good Experience on code quality and code coverage tools
• Good Experience on JIRA or other defect tracking system

Preferences:

• Gaming Experience
• Hands on Slot development experience

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.

XML job scraping automation by YubHub

You will collaborate closely with designers, animators, artists, and other engineers to create immersive, responsive, and authentic presentation features that elevate the player experience.

Responsibilities:

• Design, implement, and maintain core presentation systems (camera, replay, transitions, overlays, and match flow)
• Build features that enhance broadcast authenticity (cutscenes, player reactions, crowd moments, pre/post-match sequences)
• Collaborate with UI/UX designers to implement dynamic in-game interfaces and overlays
• Partner with animation and audio teams to synchronize visuals, motion, and sound for cohesive presentation
• Optimize runtime performance for presentation systems across platforms
• Develop tools and workflows that empower content creators (designers, artists, animators)
• Debug and resolve complex issues related to rendering, timing, and sequencing
• Contribute to technical design discussions and help drive best practices across the team
• Mentor junior engineers and provide technical guidance when needed

Qualifications:

• 5+ years of professional software engineering experience (games or real-time interactive systems preferred)
• Strong proficiency in C++ (or similar systems-level language)
• Strong proficiency in UI development and UI frameworks, experience building UI for time critical and performance driven applications, including animations and visual effects
• Experience working with real-time rendering engines (e.g., Unreal, Frostbite, Unity, or proprietary engines)
• Solid understanding of game loops, state machines, and event-driven systems
• Strong debugging and performance optimization skills
• Ability to collaborate across disciplines and communicate technical concepts clearly

Nice to Have:

• Experience working on sports or broadcast-style presentation systems
• Familiarity with camera systems, cinematics, or replay tools
• Knowledge of animation systems (state machines, blending, IK)
• Experience with scripting languages (Python, Lua, etc.)
• Passion for football (soccer) and understanding of broadcast presentation
• Experience working on live service or annually shipped titles

XML job scraping automation by YubHub

EA SPORTS is one of the most iconic brands in entertainment – connecting hundreds of millions around the world to the sports they love through a portfolio of industry-leading video games.

As one of the largest sports entertainment platforms in the world, EA SPORTS FC is redefining football with genre-leading interactive experiences, connecting a global community of fans to The World's Game through innovation and unrivaled authenticity.

With more opportunity than ever to design, innovate and create new, immersive experiences that bring joy, inclusivity, and connection to fans everywhere, we invite you to join our passionate and dynamic team as we pioneer the future of football fandom.

As a Rendering Software Engineer, you are an essential part of the game creation process, and are involved in the architectural design and implementation of rendering technology on multiple platforms. You will work with Designers, Artists and other Engineers to help build complex graphics features, life-like visuals, huge and immersive worlds, and state-of-the-art graphical FX.

Your Responsibilities:

• Develop core rendering features, engine components and tools.

• Research and implement rendering techniques.

• Create reusable and flexible rendering technologies.

• Write technical design specifications.

• Design, maintains, implements, tests and debugs code, pipelines and other rendering-related sub-components and packages.

• Profiles and optimizes rendering modules of a game engine.

• Stay up to date with the latest hardware & software changes enhancing the rendering domain.

• You will report to the engineering team's manager and work with your peers to render specific tasks.

Your Qualifications:

• 5+ years' experience with C++ development.

• Experience working on or creating real-time rendering engines.

• Communication ability that supports an open working environment regarding feedback

• A strong desire to improve visual quality together with art and design

• Math skills include trigonometry, calculus, and linear algebra.

• Experience in modern graphics APIs such as DirectX12, Vulkan, or Metal

• Experience developing rendering techniques and implementing white papers

• Stays up to date with latest and the greatest techniques in computer graphics

• Experience with one or more of the following: PC, PS4, Xbox One, PS5, Xbox Series S/X

• Excellent debugging and multi-threading skills

• Experience with graphics performance analysis, optimization, and associated tools such as PIX, RenderDoc, Razor

• Experience with art and content pipelines and workflows

• Experience investigating and optimizing low-level game engine code on multiple platforms

• Understanding of memory management, multiple processor use, and runtime optimization.

XML job scraping automation by YubHub

We are looking for experienced C++ Software Engineers who are passionate about developing robust C++ code basis the requirement specifications, to develop high impact casino games for our global customers.

Key Responsibilities

• Strong C++ programming skills
• Good Linux and Windows development & debugging experience.
• Good Experience on Design Patterns, STL
• Experience with Visual Studio
• Ensure timely deliveries with agreed quality of all the tasks undertaken by the team.
• Good Experience on Design Patterns, STL
• Experience with Visual Studio
• Work with Sr. Management to accomplish business goals.

Requirements

• Minimum 5-8 years’ experience overall with core experience in C++;
• Expertise in the full software/project life cycle, including specifications, requirements analysis, design/architecture, implementation, testing, and maintenance
• Experience with Git/SVN/Perforce or other configuration management systems
• Good Experience on code quality and code coverage tools.
• Good Experience on JIRA or other defect tracking system
• Excellent verbal and written communication skills and the ability to work in a fast-paced team environment

Preferences

• Gaming Experience
• Hands on Slot development experience

Why Aristocrat?

Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.

XML job scraping automation by YubHub

Your primary responsibilities will include:

Developing the entire automation solution life cycle, from intake through development, debugging, testing, and implementation into production. Writing documentation that follows the Reporting Center of Excellence’s standards and governance. Reviewing and ensuring all developed automated solutions meet objectives and guidelines by collaborating with the lead engineer. Building and reviewing sustainability documentation for automated processes and contributing to team training and professional development. Maintaining and debugging over 500 existing automation processes to ensure consistent, accurate, and up-to-date operational rhythms. Leading recurring meetings with business collaborators, sharing functional and technical expertise, identifying automation opportunities, and guiding participants in setting up successful automation processes. Researching and developing code to improve existing automations, focusing on faster run times and innovative solutions. Supporting the Reporting Center of Excellence in driving forward strategic and tactical implementation of automation solutions. Directing the development of automation solutions using Python, Blue Prism, Power Automate, Co Pilot Studio, and other platforms to simplify repetitive tasks. Conducting detailed reviews of automation code developed by team members, providing constructive feedback and ensuring alignment with organizational standards. Mentoring and training junior engineers, encouraging skill development in Python, Blue Prism, Power Automate, and problem-solving techniques. Finding opportunities for process improvements and implementing solutions to optimize automations. Incorporating AI/ML capabilities into automation workflows where applicable. Supporting proof-of-concept developments to evaluate new tools and frameworks for automation efficiency.

XML job scraping automation by YubHub

• $295K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters.

Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale.

About the Role

We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks.

You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, fast to restart, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training.

In this role, you will

• Design and build a unified dataset read platform for multiple current and future training frameworks.

• Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable.

• Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts.

• Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late in the pipeline, where bugs are most visible.

• Write and review production code in core data loading, service, caching, and reliability paths.

• Partner with teams working on training frameworks, reinforcement learning, multimodal models, storage, runtime, and cluster infrastructure.

Over Time

The long-term goal is a team that owns fast, correct, scalable, and reliable in-cluster data movement for training: data that comes in, data that goes out, and data that moves around inside the cluster. After ramping on datasets, this role will expand to TLM ownership for broader data movement systems, including checkpoint loads/saves and snapshot transfers, while partnering closely with existing technical leads and adjacent infrastructure teams.

You might thrive in this role if you:

• Have built or owned dataset, data loading, storage, or distributed training infrastructure at large scale (e.g. [torch.utils.data](http://torch.utils.data/))

• Care equally about API design, debugging ergonomics, performance, and bit-level correctness.

• Understand the failure modes of large distributed training jobs and know how data systems can create or prevent them.

• Have experience with stateful iterators, checkpoint/restart semantics, caching, remote services, or high-throughput storage reads.

• Are comfortable working across Python and lower-level systems code; Rust or C++ experience is useful but not required.

• Have worked with multimodal, video, reinforcement learning, or pretraining data pipelines where small data bugs are expensive and hard to diagnose.

• Can lead through code and technical judgment before a team exists, and can later manage engineers without losing the hands-on edge.

• Obsess over developer experience by eliminating friction, such as manual preprocessing scripts and niche cluster-specific bugs, ensuring a reliable and efficient experience for researchers.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties may require travel to client sites, which may involve exposure to environments that pose health risks, such as COVID-19.

XML job scraping automation by YubHub

As a senior member of our verification team, you'll understand the design & implementation with focus on Memory Management unit, define the verification scope, develop the verification infrastructure (Testbenches, BFMs, Checkers, Monitors), implement test/coverage plans, and verify the correctness of the design.

Collaborate with architects, designers, software engineers across sites to accomplish your goals.

Plan and work on strategic direction of the methodology for the testbench with advance methodology.

You will have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

You will be eligible for equity and benefits.

Applications for this job will be accepted at least until June 12, 2026.

XML job scraping automation by YubHub

Responsibilities: Develop highly accurate forecast models powering insights for business and product risks and opportunities Drive impact analysis for features critical to agile course correction and business investments Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals Define, build and track success metrics for Bing customer satisfaction and retention. Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria. Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends. Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics.

Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

XML job scraping automation by YubHub

• $266K – $445K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI's Hardware organization develops silicon, systems, and platform infrastructure designed for the unique demands of advanced AI workloads. The First-Party Hardware team works across accelerators, servers, racks, firmware, manufacturing, deployment, and operations to build AI-native compute systems for OpenAI's supercomputing infrastructure. Security is a foundational property of these systems, spanning how devices are designed, provisioned, enrolled, operated, serviced, and retired.

About the Role

We're seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, working across hardware security, embedded security, system security, and practical deployment at data center scale.

You will partner with silicon, hardware, firmware, infrastructure, manufacturing, operations, and security teams to define and deliver system-level device trust. This includes boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware update and recovery, RMA, and decommissioning. You will be accountable for turning threat models into requirements, requirements into implementation, and implementation into validation evidence that can support launch decisions.

Location: San Francisco, CA (Hybrid: 3 days/week onsite)

Relocation assistance available.

In this role, you will:

• Own security requirements, threat models, validation strategy, and launch-readiness evidence for first-party hardware platforms from early design through production deployment.

• Design and review secure boot, measured boot, roots of trust, platform firmware resilience, firmware signing, recovery, and anti-rollback strategies across heterogeneous devices.

• Own device identity, provisioning, enrollment, attestation, certificate lifecycle, and key-management requirements across manufacturing and data center bring-up.

• Harden management interfaces and operational access paths across BMCs, hosts, accelerators, switches, and service tooling, including TLS/mTLS, Redfish, gNMI, SSH, syslog, and break-glass workflows.

• Drive security requirements for manufacturing, supply chain, firmware/image signing, storage encryption, RMA, repair, and decommissioning processes.

• Build and drive validation for security-critical hardware and firmware behavior, including debug lockout, lifecycle transitions, update paths, attestation evidence, and recovery flows.

• Partner with vendors and contract manufacturers to turn security requirements into concrete deliverables, test evidence, and launch gates.

• Drive end-to-end closure across design, implementation, manufacturing readiness, deployment readiness, fleet operations, and incident response when security issues arise.

• Investigate hardware and firmware security issues, assess exploitability and operational risk, and drive durable fixes with engineering owners.

You might thrive in this role if you have:

• 7+ years of hands-on experience, or exceptional accomplishments demonstrating equivalent expertise, in hardware security, embedded security, firmware security, platform security, or low-level systems security.

• Experience shipping or securing real hardware platforms, embedded devices, servers, accelerators, networking systems, BMCs, bootloaders, BIOS/UEFI, RTOS, kernels, or firmware update systems.

• Deep familiarity with secure boot, measured boot, TPMs, hardware roots of trust, device attestation, key provisioning, debug interfaces, firmware signing, recovery, or lifecycle-state design.

• Strong applied-cryptography judgment for secure boot, attestation, TLS/mTLS, key storage, certificate lifecycle, storage encryption, and long-range transitions such as post-quantum readiness.

• Ability to read and write systems code in C, C++, or Rust and to use that skill to review, prototype, test, or debug security-critical behavior.

• Comfort with hardware-software interfaces such as SPI, I2C, SMBus, PCIe, UART, JTAG, SWD, GPIOs, TPMs, and board-level debug tools.

• Proven track record driving security improvements with hardware, firmware, infrastructure, manufacturing, operations, and partner teams.

• Experience owning broad, ambiguous security programs end to end, including translating risk into technical requirements, validation plans, and accountable engineering decisions.

• Clear written and verbal communication, with the ability to turn ambiguous security risks into actionable requirements, design reviews, tests, and decisions.

_To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations._

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants will be subject to a thorough background check prior to joining OpenAI.

XML job scraping automation by YubHub

Translating insights into actionable metrics, we use data to provide direction to the Bing and MAI organization and help business leaders and engineers make the right product and strategic decisions.

As a Senior Data Scientist in this team, you will have the chance to work on metrics and analytics shaping growth of the Bing product. You will have the opportunity to work with the engineering teams focused on growth based on 1000s of controlled A/B experiments. You will drive impactful data-driven insights to understand impact and develop forecast models inform risk and opportunities to the product and business as early as possible.

Responsibilities:

• Develop highly accurate forecast models powering insights for business and product risks and opportunities
• Drive impact analysis for features critical to agile course correction and business investments
• Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals
• Define, build and track success metrics for Bing customer satisfaction and retention. Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria.
• Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
• Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics.

Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Experience with SQL-like query languages.
• Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
• Ability to work independently, influence others, and solid communication and collaboration skills.
• Familiarity with search engines, dealing with online instrumentation.
• Experience with large datasets and interest in consumer online search behaviors.
• Experience with building machine learning models on large scale data.

XML job scraping automation by YubHub

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.

For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform , air, maritime, space, or effects/expendables, depending on the program , then integrate, validate, and field it on the real hardware.

In this role, you'll write new autonomy code , such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy , and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers).

It's a hands-on role for engineers who like seeing their code operate in the real world , whether that's flying, sailing, orbiting, or downrange , and want to be there when it does. At this level, you'll also serve as a technical leader within the team , leading a small feature crew or sub-program through design, integration, and delivery, mentoring mid-level engineers, and representing the team directly to capability teams and external partners.

Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain , air, maritime, space, and effects/expendables , in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.

Responsibilities

• Develop & Field Autonomy , Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces , and lead a small team through the design, development, and delivery of a major capability or sub-program.
• Technical Leadership , Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.
• Collaboration Across Teams , Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); author and negotiate ICDs and interface contracts rather than just consume them
• Mentorship & Growth , Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires.
• Design & Documentation , Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.
• Pre-deployment Preparation , Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.
• On-site Test & Mission Support , Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.
• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments , including memory, CPU, and timing profiling under operationally-representative loads.
• Mission Data & Debrief Support , Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.
• Continuous Improvement , Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.
• C2 Interoperability & Standards , Own the interface contracts with C2 providers and drive standards compliance for your area, including implementation and validation against command-and-control standards (e.g., A-GRA, UCI, OMS).
• Hiring , Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.
• Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).

Requirements

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
• Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
• Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).
• Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.
• Experience with autonomy simulation environments for testing and validation.
• Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.
• Track record of mentoring engineers and growing technical talent.
• Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferences

• Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.
• Proficiency in Python for scripting, automation, and analysis.
• Experience leading a feature crew, sub-program, or small team in an unmanned systems context.
• Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government programs)

XML job scraping automation by YubHub

Location: Washington, DC

Department: Hivemind Solutions Division

Job Type: Full Time Employee

Team: Flight System Integration

Work Arrangement: onsite

Salary: USD 228,000-342,000 per-year-salary

Job Description:

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide.

For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on an unmanned platform , air, maritime, space, or effects/expendables, depending on the program , then integrate, validate, and field it on the real hardware.

In this role, you'll write new autonomy code , such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy , and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. You'll partner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers).

It's a hands-on role for engineers who like seeing their code operate in the real world , whether that's flying, sailing, orbiting, or downrange , and want to be there when it does.

At this level, you'll own the technical direction across multiple programs , driving the autonomy reference implementation and common patterns that portfolios adopt, anticipating where the autonomy stack needs to evolve, adapting as programs and priorities shift, and aligning with engineering leadership early.

You'll serve as the subject-matter expert other teams seek out on hard, ambiguous problems in unknown solution spaces; mentor senior engineers and other team leads; drive cross-team improvements in rigor and process; and represent the team to engineering leadership, customer/program offices, and standards bodies.

Shield AI is committed to developing cutting-edge autonomy for unmanned platforms across every operating domain , air, maritime, space, and effects/expendables , in service of the U.S. Department of Defense and our international defense customers.

Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and whenever they're needed most.

What You'll Do:

• Develop & Field Autonomy , Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across onboard compute, sensors, and command-and-control interfaces , and own the technical direction across a set of related programs, driving the autonomy reference implementation and common patterns that keep delivery coherent across portfolios.

• Technical Strategy & Leadership , Set the technical direction across multiple programs; drive the autonomy reference implementation and common patterns that portfolios adopt; anticipate where the stack needs to go and adapt as priorities shift; align with engineering leadership early and maintain outward status; serve as the subject-matter expert that the broader org reaches for when hard, ambiguous problems in unknown solution spaces land on the team.

• Collaboration & Cross-Engineering Influence , Build effective working relationships across engineering; represent the team to engineering leadership, customer/program offices, standards bodies, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); shape architecture decisions beyond the team.

• Mentorship & Growth , Mentor senior engineers and other team leads; provide cross-functional mentorship to engineers in adjacent departments; help shape the leveling and career bar for the team and the broader engineering organization.

• Design & Documentation , Drive cross-functional design reviews, architecture documents, and post-mortems across many teams; publish content that informs decisions beyond the team; set the rigor and process bar for the broader engineering org.

• Pre-deployment Preparation , Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.

• On-site Test & Mission Support , Travel to test sites and support live mission operations (flight tests, range exercises, on-water trials, integration events), including safety checks, system bring-up, and troubleshooting under time-critical constraints.

• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments , including memory, CPU, and timing profiling under operationally-representative loads.

• Mission Data & Debrief Support , Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.

• Continuous Improvement , Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.

• C2 Interoperability & Standards , Set the strategy for C2 interoperability across our portfolio; shape interface evolution with internal and external stakeholders; own implementation and compliance against command-and-control standards (e.g., A-GRA, UCI, OMS).

• Hiring , Define the skills bar and hiring strategy for senior roles in your area; partner with managers on long-term staffing plans; assess candidates accurately and onboard new senior engineers.

• Travel Requirement – Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience

• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.

• Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.

• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.

• Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).

• Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.

• Experience with autonomy simulation environments for testing and validation.

• Demonstrated experience leading multiple teams or driving cross-program technical initiatives.

• Strong communication and interpersonal skills, with ability to work effectively in a fast-paced environment.

• Ability to obtain and maintain a security clearance, as required by the position.

• Willingness to travel up to 20% of the time.

XML job scraping automation by YubHub

You will work closely with the Autonomy Capabilities team, the Perception team, feature crews, and external partners to deliver and validate mission-critical functionality on time. Your responsibilities will include owning the build, configuration, and validation process for mission-ready systems, coordinating hardware/software compatibility, mission readiness, and release cadence with capability and feature teams.

You will also travel to test sites and support live mission operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints. Additionally, you will diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments.

In this role, you will have the opportunity to work on cutting-edge autonomy for unmanned platforms across every operating domain - air, maritime, space, and effects/expendables - in service of the U.S. Department of Defense and our international defense customers.

Key Responsibilities:

• Develop and integrate autonomy software solutions onto unmanned platforms
• Collaborate with the Autonomy Capabilities team, the Perception team, feature crews, and external partners to deliver and validate mission-critical functionality
• Own the build, configuration, and validation process for mission-ready systems
• Coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams
• Travel to test sites and support live mission operations
• Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience
• Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics
• Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems
• Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems
• Experience with autonomy simulation environments for testing and validation
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Direct experience supporting uncrewed systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns
• Proficiency in Python for scripting, automation, and analysis
• Familiarity with autonomy stacks, motion planning, or vehicle-control integration
• Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging
• Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute
• Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots)
• Proficiency in developing automation tools for system testing, logging, and data parsing
• Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity
• Comfortable interfacing with DoD stakeholders during field events or technical reviews
• Experience with C2 standards such as A-GRA, UCI, or OMS
• Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus

Additional Information:

Shield AI is proud to be an equal opportunity employer.

XML job scraping automation by YubHub

You Are You are a highly skilled R&D engineer who is energized by working deep in the core internals of a large, mission-critical EDA product. You take pride in writing robust, performant, and maintainable C++ on UNIX/Linux, leveraging modern IDEs and AI-assisted developer environments to accelerate development. You have a deep appreciation for the data structures, memory layouts, and algorithmic choices that determine whether a tool scales gracefully to billion-gate designs and enjoy reasoning about netlist representations, graph traversals, hashing strategies, and the subtle trade-offs between runtime, memory footprint, and capacity.

What You'll Be Doing

• Architect, develop, and own core infrastructure of the Formality verification engine.
• Drive runtime, memory, and capacity improvements profiling production designs and re-engineering hotspots to deliver step-function gains.
• Design and harden parallel architectures to scale equivalence checking to modern multi-core machines.
• Take end-to-end technical ownership of complex customer escalations rooted in layers , reproducing, root-causing, fixing, and adding the safeguards that prevent regression.
• Initiate design reviews, raise the bar on code quality and unit-test coverage.
• Collaborate across teams to enable the abstractions needed for future capabilities.

The Impact You Will Have

• Define the structural and performance ceiling of Formality, directly enabling our customers to sign off larger and more complex designs with confidence.
• Strengthen the long-term architectural foundation of a flagship Synopsys product trusted across every major semiconductor company.
• Influence the technical direction of the team through design leadership, mentorship, and a strong example of engineering rigor.
• Help accelerate the tape-out cycles of the chips that power AI, mobile, automotive, and high-performance computing worldwide.

What You'll Need

• BE/B.Tech in Computer Science, Electrical, or Electronics Engineering with strong relevant experience, or an MS / PhD in a related discipline.
• 5+ years (BE/B.Tech), 3+ years (MS), or 2+ years (PhD) of professional software development experience in large, production C++ codebases, with demonstrated module ownership and technical leadership on non-trivial features.
• Expert command of modern C++, the STL, templates, and idiomatic memory and lifetime management for performance-sensitive systems.
• Strong fundamentals in data structures and algorithms , graphs, hash tables, trees, traversal and BDD , with a track record of applying them to real engineering problems.
• Demonstrated ability to profile, diagnose, and optimize for runtime, memory, and scalability on multi-million-instance workloads.
• Working knowledge of HDLs (Verilog / SystemVerilog / VHDL) and digital design fundamentals; familiarity with synthesis, equivalence checking, or related EDA flows is strongly preferred.
• Comfort with TCL, Python, and shell scripting for tool infrastructure, regressions, and developer tooling.
• Exposure to AI-assisted developer tools such as Cursor or GitHub Copilot, and a curiosity for adopting modern productivity practices.
• Excellent written and verbal communication, with the ability to lead technical discussions across teams.

Who You Are

• A systems thinker who understands how a small change deep in the system ripples through the entire product.
• A disciplined engineer who values measurement over intuition and tests over hope.
• A mentor and collaborator who lifts the technical quality of everyone around you.
• A pragmatic problem-solver who balances long-term architecture with short-term delivery.
• A continuous learner who keeps pace with advances in C++ and EDA methodology.

The Team You'll Be A Part Of You will join the Formality R&D team , the group responsible for the structural backbone of one of the industry's most established formal equivalence checking tools. We own the data, the infrastructure, and the performance characteristics that every other Formality capability is built upon. The team values deep technical ownership, careful engineering, and a culture where strong opinions are tested against data. You will work alongside experienced engineers solving problems at the limits of design size, with broad exposure to formal verification, synthesis, and large-scale software systems.

XML job scraping automation by YubHub

As part of the software development team, we work with users from different departments, including Architecture and Software teams. Our mission is to give users intuitive, rich, and detailed insights into workloads and systems. This helps them see opportunities in both software and hardware. We then build high-level models that suggest and deliver world-class hardware and software solutions to our customers. We also debug complex issues to improve system performance and efficiency.

Responsibilities

• Build and maintain internal profiling tools aimed at performance and power optimization by using real-world GPU applications, such as games and AI workload.
• Collaborate with our users to model and improve the design for next-generation GPU for better performance and power efficiency
• Partner with hardware architects to propose new features or improve existing ones based on real-world use cases.

Requirements

• BS+ in Computer Science or a related field (or equivalent experience) with 3+ years of software development experience.
• Strong system software development skills in C++.
• Proficiency in using coding agents like Codex, Claude Code, etc.
• A motivated self-starter with strong problem-solving abilities and excellent customer-facing communication skills.
• Passion for continuous learning and the ability to work concurrently with multiple global groups.

Ways to stand out from the crowd

• Expertise in using GPU APIs such as DirectX12, Vulkan, or CUDA.
• Proficient in CPU/GPU application performance profiling, analysis, and optimization.
• Experience contributing to open-source projects, particularly 3D game engines.
• In-depth knowledge of GPU and/or CPU architecture and general computer architecture principles.

XML job scraping automation by YubHub

The Warfighting Systems Analyst supports the design, evaluation, and optimization of defense systems by focusing on how systems should be designed, configured, integrated, and employed to deliver warfighting advantage. The analyst works at the intersection of mission engineering, systems analysis, operations research, product development, and technical trade-space evaluation.

They translate operational problems into system-level questions, leverage high-end models and simulations to assess technical and architectural alternatives, and provide decision-quality analysis that helps engineering, product, and business leaders make informed choices. Modeling, Simulation, and Analysis (MS&A) will often complement demonstration events that together leave no doubt that Anduril offers real warfighter capability.

This role is ideal for individuals who can reason across military operations and technical systems, evaluate performance tradeoffs, and communicate how system design decisions affect operational utility.

Key Responsibilities:

• Analyze system performance, architecture, integration options, and design trades in the context of operational mission needs
• Translate warfighting requirements and operational constraints into system-level parameters, performance thresholds, and analytic frameworks
• Leverage high-end models and simulations, including Anduril's Lattice Mission Simulation and the Advanced Framework for Simulation, Integration and Modeling (AFSIM), to conduct studies
• Support engineering and product teams by evaluating how platform, payload, autonomy, sensor, effector, communications, navigation, or C2 choices affect mission outcomes
• Conduct trade studies comparing alternative system configurations, architectures, payloads, deployment concepts, and operational employment models
• Design, execute, and analyze tactical (engagement-level and mission-level) analysis and wargames to assess autonomous system capabilities and refine tactics
• Develop physics-based models and relevant operational scenarios, with an emphasis on modeling red and blue force systems and tactics
• Develop measures of performance, key performance parameters, key system attributes, and operationally meaningful technical metrics
• Assess system-of-systems interactions, integration risks, dependencies, constraints, and mission impacts
• Partner with warfighting capability analysts to ensure system analysis remains grounded in real operational problems and customer needs
• Collaborate with engineering and business development teams to demonstrate Anduril's capabilities and value proposition through rigorous, data-driven analysis

Requirements:

• 8+ years of experience in Operations Research, Systems Analysis (ORSA), systems engineering, mission engineering, test and evaluation, or a related technical-operational discipline
• Experience with tactical experiment and wargaming design, including scenario development, data analytics, and trade-space analysis
• Demonstrated experience in modeling and simulation for military missions, with a preference for a background in red force tactics, modeling, and simulation
• Demonstrated experience providing technical direction and mentorship to junior M&S engineers guiding analytic approach, validating methodology, and reviewing work products
• Experience with DoD M&S tools (e.g., AFSIM, Brawler, Suppressor, ESAMS, Command PE)
• Experience developing analytic products or tools usable by non-M&S specialists
• Proficiency with C++ or Python for physics-based modeling and scripting
• Ability to connect system performance, architecture, and design choices to mission outcomes
• Ability to assess and solve problems, and to effectively communicate results through strong verbal and written skills
• Currently possesses and is able to maintain an active U.S. Secret security clearance

Preferred Qualifications:

• Master's degree in Operations Research, Engineering, Computer Science, Data Science, Physics, Mathematics, or a related technical field
• Operational military background with a subsequent transition into an ORSA, M&S, or Operations Analyst position
• Experience with AFSIM plug-in development or other advanced M&S framework customization
• Experience with defense systems, autonomous systems, maritime systems, undersea systems, sensors, effectors, communications, navigation, C2, or ISR mission systems
• Familiarity with model-based systems engineering, digital engineering, operational test, or experimentation
• Experience developing KPPs, KSAs, MOEs, MOPs, requirements, test objectives, or system performance assessments
• Proficiency with data analysis and visualization tools such as Tableau, or scripting languages like MATLAB/SIMULINK
• Experience building or maturing an organization's M&S capability or tool stack from an early/immature state
• Experience leading or coordinating M&S efforts across geographically distributed teams
• 8+ years of experience with the U.S. Navy or U.S. Marine Corps

XML job scraping automation by YubHub

The Warfighting Systems Analyst supports the design, evaluation, and optimization of defense systems by focusing on how systems should be designed, configured, integrated, and employed to deliver warfighting advantage. The analyst works at the intersection of mission engineering, systems analysis, operations research, product development, and technical trade-space evaluation.

They translate operational problems into system-level questions, leverage high-end models and simulations to assess technical and architectural alternatives, and provide decision-quality analysis that helps engineering, product, and business leaders make informed choices.

Modeling, Simulation, and Analysis (MS&A) will often complement demonstration events that together leave no doubt that Anduril offers real warfighter capability.

This role is ideal for individuals who can reason across military operations and technical systems, evaluate performance tradeoffs, and communicate how system design decisions affect operational utility.

Responsibilities

• Analyze system performance, architecture, integration options, and design trades in the context of operational mission needs
• Translate warfighting requirements and operational constraints into system-level parameters, performance thresholds, and analytic frameworks
• Leverage high-end models and simulations, including Anduril's Lattice Mission Simulation and the Advanced Framework for Simulation, Integration and Modeling (AFSIM), to conduct studies
• Support engineering and product teams by evaluating how platform, payload, autonomy, sensor, effector, communications, navigation, or C2 choices affect mission outcomes
• Conduct trade studies comparing alternative system configurations, architectures, payloads, deployment concepts, and operational employment models
• Design, execute, and analyze tactical (engagement-level and mission-level) analysis and wargames to assess autonomous system capabilities and refine tactics
• Develop physics-based models and relevant operational scenarios, with an emphasis on modeling red and blue force systems and tactics
• Develop measures of performance, key performance parameters, key system attributes, and operationally meaningful technical metrics
• Assess system-of-systems interactions, integration risks, dependencies, constraints, and mission impacts
• Partner with warfighting capability analysts to ensure system analysis remains grounded in real operational problems and customer needs
• Collaborate with engineering and business development teams to demonstrate Anduril's capabilities and value proposition through rigorous, data-driven analysis

Requirements

• 8+ years of experience in Operations Research, Systems Analysis (ORSA), systems engineering, mission engineering, test and evaluation, or a related technical-operational discipline
• Experience with tactical experiment and wargaming design, including scenario development, data analytics, and trade-space analysis
• Demonstrated experience in modeling and simulation for military missions, with a preference for a background in red force tactics, modeling, and simulation
• Demonstrated experience providing technical direction and mentorship to junior M&S engineers guiding analytic approach, validating methodology, and reviewing work products
• Experience with DoD M&S tools (e.g., AFSIM, Brawler, Suppressor, ESAMS, Command PE)
• Experience developing analytic products or tools usable by non-M&S specialists
• Proficiency with C++ or Python for physics-based modeling and scripting
• Ability to connect system performance, architecture, and design choices to mission outcomes
• Ability to assess and solve problems, and to effectively communicate results through strong verbal and written skills
• Currently possesses and is able to maintain an active U.S. Secret security clearance

Preferred Qualifications

• Master's degree in Operations Research, Engineering, Computer Science, Data Science, Physics, Mathematics, or a related technical field
• Operational military background with a subsequent transition into an ORSA, M&S, or Operations Analyst position
• Experience with AFSIM plug-in development or other advanced M&S framework customization
• Experience with defense systems, autonomous systems, maritime systems, undersea systems, sensors, effectors, communications, navigation, C2, or ISR mission systems
• Familiarity with model-based systems engineering, digital engineering, operational test, or experimentation
• Experience developing KPPs, KSAs, MOEs, MOPs, requirements, test objectives, or system performance assessments
• Proficiency with data analysis and visualization tools such as Tableau, or scripting languages like MATLAB/SIMULINK
• Experience building or maturing an organization's M&S capability or tool stack from an early/immature state
• Experience leading or coordinating M&S efforts across geographically distributed teams

XML job scraping automation by YubHub

• Define systems engineering strategies in the Tactical Recon & Strike Division to drive requirements and verification for core Anduril Products Altius, Anvil, Bolt, and Ghost.
• Design, develop, and implement automated system-level integration tests on SITL, HITL and hybrid testbeds coupled to simulation environments, followed by flight testing to ensure robust validation of system functionality and performance.
• Define and devise testing strategies using appropriate testing modalities for system and software requirements.
• Autonomously execute on broad and/or ambiguous requirements from internal engineering, program office, and third-party corporate partners to own successful delivery of outcomes on multiple programs simultaneously.
• Coordinate and execute frequent test events involving various levels of software and hardware, from in-lab full-software simulations to full hardware-in-the-loop demonstrations at test sites.
• Define a strategy to comply with appropriate industry standards, e.g., NATO UAV and MIL-STD-882E.
• Demonstrate high ownership on all pieces of work; become a trusted partner to Anduril’s software engineers.
• Ensure that the organization’s technical roadmap is well understood and that programs and staffing are aligned with the roadmap.
• Manage, unblock, and accelerate cross-team projects spanning multiple functional teams and cross-functional initiatives.
• Identify and resolve systemic execution issues across the team or group that require broader initiatives to resolve.
• Identify, resolve, and escalate key cross team dependencies.
• Support leads with quarterly and ongoing staffing plans across the organization, particularly where difficult prioritization conflicts exist.
• Collaborate closely with other partner teams, such as hardware, product, and test operations as needed.
• Understand technical implementation at the architectural level and propose technical alternatives when necessary; ask questions that clarify priorities.

XML job scraping automation by YubHub

As a Staff R&D Engineer, you will design, develop, and maintain core components of StarRC, the industry gold standard parasitic extraction tool used across leading semiconductor companies. You will build and refine capacitance models that enable accurate extraction for advanced technology nodes, often before the competition catches up.

You will develop next-generation parasitic extraction algorithms focused on runtime reduction, memory efficiency, and capacity improvements for increasingly complex designs. You will write and enhance Python or Tcl scripts to analyze large datasets, identify performance bottlenecks, and apply machine learning techniques to optimize extraction flows.

You will collaborate directly with domain experts in electromagnetics, circuit modeling, and verification to solve tough technical problems that span multiple disciplines. You will debug complex issues in a large C++ codebase, trace problems across modules, and deliver fixes that improve tool stability and accuracy.

The impact you will have is significant. You will keep StarRC at the leading edge of parasitic extraction technology, directly influencing how the world's most advanced chips are designed. You will enable semiconductor companies to adopt new process technologies faster by delivering accurate models and extraction flows ahead of industry timelines.

You will reduce customer runtime and memory usage by double-digit percentages, translating to real cost savings and faster design cycles for chips powering AI, automotive, and mobile devices. You will push the boundaries of what is possible in EDA by integrating machine learning and optimization techniques into production-grade extraction tools.

You will improve the reliability and accuracy of a tool that thousands of engineers depend on daily for tape out-critical work. You will shape the future of electronics by contributing to the software infrastructure that makes next-generation semiconductor design feasible.

To succeed in this role, you will need to have a strong foundation in C++ programming, with experience building and debugging performance-critical software in large codebases. You will also need to have a solid understanding of data structures, algorithms, and software development processes, including version control, testing, and code review.

Experience working in a Linux environment and comfort with scripting languages like Python, Tcl, or Perl for automation and analysis is also required. A background in numerical mathematics, optimization, machine learning, or computational electromagnetics is a strong plus, especially as applied to EDA or physical modeling problems.

You will be a proactive and collaborative team player, detail-oriented with strong problem-solving skills. You will be passionate about learning and applying new technologies. You will be an effective communicator with the ability to convey complex technical concepts clearly.

You will be adaptable and able to thrive in a fast-paced, dynamic environment. You will be committed to delivering high-quality results and meeting deadlines.

In return, you will have the opportunity to work on cutting-edge technology, collaborate with a talented team, and contribute to the development of a leading-edge tool.

You will also have access to a comprehensive range of health, wellness, and financial benefits, including comprehensive medical and healthcare plans, time away programs, family support, ESPP, retirement plans, and competitive salaries.

XML job scraping automation by YubHub

As an engineer on the Multimodal AI team, you will work across the stack to build the product experiences and platform systems that make this possible across our applications. Our stack spans immersive UIs, real-time audio processing, evaluation systems, backend infrastructure, and supporting libraries and SDKs. We’ll work with you to match your strengths and interests to the areas where you can drive the most impact, while collaborating as a team to turn ambiguous, bleeding-edge problems into reliable experiences for users.

Responsibilities

• Design, build, and own product and multimodal platform systems for Perplexity.
• Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch.
• Hill climb on hard problems, continuously iterating to improve for ourselves and customers.
• Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams.
• Build systems that take into account the nuances of multimodal AI.
• Work closely with client verticals to integrate new features into their stack.

What we're looking for

• Experience building and operating production systems at a meaningful scale.
• Ability to work up and down the stack, from deep systems primitives to getting the pixels and prompts just right.
• Strong product judgment and the ability to translate user problems into simple, effective technical solutions.
• Genuine interest and adoption of multimodal AI products and willingness to learn quickly.
• Ability to think through novel problems and implement companion long-term solutions that scale.

Nice to have

• Background including work with real-time audio or video processing.
• Experience with audio stack technologies including audio processing modules (APMs), echo cancellation, noise reduction/cancellation, automatic-gain control (AGC), etc.
• Experience with immersive UIs integrating with real-time data.
• Some experience or familiarity with Rust or C++

XML job scraping automation by YubHub

We are looking for a software engineer intern with a strong passion in the self-driving car industry and interests/experiences in mapping, machine learning, and 3D data visualization. NVIDIA plays a meaningful role in the AI and Autonomous Vehicles industry through significant investments in the DRIVE platform and a robust ecosystem of partners.

What You'll Be Doing:

• Work closely with senior engineers and learn about the tech stack to build high quality, high definition maps in a scalable way.
• Build automation algorithms, data pipelines and visualization tools to improve map building quality/efficiency and support new mapping features.
• Explore exciting new ideas to combine SOTA generative AI technologies and our rich mapping dataset to tackle hard problems in map building, map QA and simulation.
• Engage with various map data consumers (perception, infra, simulation) in AV and Nvidia.

What We Need To See:

• Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related majors
• Excellent programming skills in Python, C++, or Java
• Previous experience or coursework in robotics, automotive, or artificial intelligence

Ways To Stand Out From The Crowd:

• Experience with cloud pipelines & infrastructure including Kubernetes, Docker, AWS
• Experience in AV related areas: Self-Driving Cars, Deep Learning, Computer Vision, SLAM, Sensor fusion, and/or GPU technology

XML job scraping automation by YubHub

Are you passionate about blazing the unbounded field of deep learning and building the best software tools for developers? We are looking for an outstanding software engineer to join the Developer Tools organization at NVIDIA that aims at delivering the best-in-class tool to enable streamlined design and optimization of high-performance deep neural network models in a unified environment.

Come join the team and see how you can make a lasting impact on the world!

Responsibilities

• Enhance tool support to improve deep neural network design and performance efficiency.
• Partner with management and architects to translate requirements into designs and own the development.
• Stay up to date with the latest research and become a domain expert in deep learning.

Requirements

• Master's degree in computer science, mathematics, or related engineering fields (or equivalent experience).
• At least 5 years of relevant technical work experience.
• Excellent foundational knowledge of deep learning and hands-on experience working with SOTA computer vision and large language models.
• Working experience with DL frameworks such as PyTorch, Tensorflow, or JAX.
• Strong programming skills in Python or C++.
• Excellent communication and interpersonal skills. Self-motivated and ability to work effectively with geographically distributed and multi-functional teams.

Nice to Have

• In-depth knowledge of PyTorch and ONNX. Familiar with NVIDIA DL software stacks (TensorRT, etc.).
• Hands-on experience with developing real-world deep learning applications, from training to deployment.
• Experience and/or interests in building software tools for designing and optimizing deep neural network models.

NVIDIA is widely regarded as one of the most innovative technology companies in the industry, and we have some of the most forward-thinking and versatile people in the world. Are you creative and autonomous? Do you love challenges and make a difference? If so, we want to hear from you.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

XML job scraping automation by YubHub

The Vis/Media team focuses on exploring and shipping new analysis workflows, building intuitive and flexible ways for users to compare scalar data and rich media across experiments. You’ll design and implement new features and products, improve our existing suite of visualizations and media browsers and explore new patterns to allow users to extract key insights into model performance from data logged to W&B.

This role is frontend-led, but explicitly end-to-end: you’ll move quickly across UX, APIs, and data models to turn early ideas into production features used by thousands of customers.

• Rapidly prototype, iterate, and ship new analysis workflows
• Design frontend experiences in parallel with backend schemas and APIs, evolving data models as user needs become clearer
• Work across the stack to implement end-to-end features, including adding or modifying logging formats, APIs, and data access patterns
• Make pragmatic decisions about how user-logged data should be stored, queried, and rendered to support new analytical questions
• Collaborate closely with product, design, and customer-facing teams to validate ideas early and incorporate real user feedback
• Improve reliability, performance, and scalability when working with large, complex, or high-volume datasets
• Contribute clean, testable, and reusable code; participate in code reviews and help establish patterns that reduce one-off solutions

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Minimum Qualifications

• 4+ years of experience building user-facing software, with a strong focus on frontend development
• Comfortable working across the stack, including backend services, APIs, and data models when product needs require it
• Experience working in ambiguous problem spaces where requirements, schemas, and abstractions evolve over time
• Strong product instincts and ability to reason from user goals to technical design decisions
• Familiarity with modern web technologies such as React, TypeScript, and GraphQL
• Solid understanding of programming fundamentals and experience with at least one backend or systems language (e.g. Go, Python, Java, C++, JavaScript)
• Bias toward action, iteration, and learning through building, with the judgment to avoid over-engineering too early

Preferred Qualifications

• Experience designing APIs to support exploratory or analytical workflows
• Familiarity with large-scale data systems, time-series data, media, or domain-specific file formats
• Exposure to 3D point cloud visualization frameworks like BabylonJS and potree

The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

California Applicants California Consumer Privacy Act

XML job scraping automation by YubHub

Our mission is to democratize finance for all.

An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.

If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

We're looking for a Senior Software Engineer to join our Engineering Division.

As a Senior Software Engineer, you will be responsible for designing, developing, and maintaining our software systems.

Responsibilities:

• Design and develop high-quality software systems that meet our business requirements

• Collaborate with cross-functional teams to identify and prioritize project requirements

• Develop and maintain technical documentation and standards

• Participate in code reviews and ensure adherence to coding standards

• Troubleshoot and resolve complex technical issues

• Mentor junior engineers and provide guidance on technical matters

• Stay up-to-date with industry trends and emerging technologies

Requirements:

• 5+ years of experience in software development

• Strong understanding of software design patterns and principles

• Proficiency in programming languages such as Java, Python, or C++

• Experience with agile development methodologies

• Strong communication and collaboration skills

• Bachelor's degree in Computer Science or related field

Benefits:

• Competitive salary and benefits package

• Opportunity to work with a talented team of engineers

• Professional development opportunities

• Flexible working hours and remote work options

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

XML job scraping automation by YubHub

Key responsibilities include becoming an expert user of the Hivemind Enterprise Autonomy Software Development Kit, deploying Hivemind AI infrastructure at customer sites, providing technical training to customers for their autonomy development efforts, assisting customers in integrating Hivemind autonomy to their vehicles/platforms, helping customers debug software/API integration issues, collaborating with the product and engineering teams to address customer feedback and improve products, developing and maintaining technical documentation and training materials, and assisting the sales team in answering complex technical queries from customers.

Travel to and stay at customer sites as required (~30% travel).

Examples of projects you will work on include autonomous teaming drones, teaming between helicopters and drones, autonomy on Robodogs, AI on Fighter Jets, and more.

XML job scraping automation by YubHub

This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration, and mentoring teammates.

Examples of projects you will work on include: Autonomous teaming drones. Teaming between helicopters and drones. Autonomy on Robodogs. AI Pilots for Fighter Jets. and more!

Key responsibilities include: Learn Hivemind: Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit. Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision. High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments. Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios. Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior. Hardware Software Integration: Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms. Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions. Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development. R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission. Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback. Handover / Training: Provide software handover and training to customers for their autonomy development efforts. Documentation: Develop and maintain technical documentation for customer as well as internal use. Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

XML job scraping automation by YubHub

Your role will involve hands-on testing and collaboration with cross-functional teams to ensure optimal performance and integration of cutting-edge technologies.

Key responsibilities include:

• Contributing to the design, development, and testing of electronics for airborne EO/IR systems
• Supporting systems engineering teams in defining and refining requirements based on physics-based models of sensor and system performance
• Assisting in the design and development of PCB layouts in collaboration with the electrical engineering team
• Participating in system testing at laboratory, ground, and flight test levels, providing detailed data analysis and feedback
• Conducting troubleshooting and testing of electronic components and subsystems to ensure optimal performance
• Working closely with technical leads and project teams to support system integration efforts
• Documenting test results, system designs, and processes to maintain thorough technical records

Required qualifications include:

• 5+ years of experience in electrical engineering, focusing on system-level design, development, and testing
• A degree in Electrical Engineering or equivalent
• Experience with analog and digital electronics design, testing, and troubleshooting
• Proficiency in laboratory skills, including setting up and running experiments
• Familiarity with PCB design tools and methodologies
• Excellent problem-solving skills with a detail-oriented mindset
• Ability to collaborate effectively within a multidisciplinary engineering team
• Eligibility to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications include:

• Experience in sensor or communication systems, such as RF, EO/IR, or optical technologies
• Familiarity with analytical tools and programming languages such as MATLAB, Python, or C++
• Understanding of system integration processes and workflows in aerospace or defense environments

XML job scraping automation by YubHub

Internship Experience: At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

Mission Statement: Our mission is to fuel today’s innovations and spark tomorrow’s creativity. Together, we embrace a growth mindset, empower one another, and collaborate to achieve our shared goals. Every day, we live by our values of Integrity, Excellence, Leadership, and Passion, fostering an inclusive culture where everyone can thrive,both at work and beyond.

What You’ll Be Doing:

• Participate in the creation and validation of Digital Twin models for simulation and deployment.
• Assist in the research and development of innovative solutions for efficient Digital Twin simulation, validation, and deployment using Twin Builder.
• Test and validate the Digital Twin simulation engine to ensure robust performance and accuracy.
• Contribute to the creation of technical documentation and tutorials to support users and internal teams.

What You’ll Need:

• Currently pursuing a MS in Computer Science or related technical field with a GPA of 3.0 or higher.
• Must be enrolled in a full-time degree program and returning to the program after completing the internship.
• Experience with HTML5, JavaScript (ES5/ES6), TypeScript and CSS3.
• Programming proficiency in Python, and exposure to Java or C++.
• Experience with automation testing scripts using Python.
• Strong problem-solving skills, responsibility, and motivation as a team player.

Preferred Qualifications:

• Familiarity with modular frontend development and experience with Vue.js or React.
• 2+ years of software development experience.
• Knowledge of software testing basics (e.g., unit testing, blackbox testing).
• Experience with Docker management (creation, maintenance, deployment).
• Background in developing IoT or SmartHome applications.
• Understanding of the development process, including specification, documentation, and quality assurance.

Key Program Facts:

• Program Length: 3 - 4 months
• Location: Hybrid – Canonsburg, PA (onsite and remote options available)
• Working Model: Approximately 50% remote / 50% onsite, subject to team requirements
• Full-Time/Part-Time: Full-Time (40 hours/week)
• Start Date: Fall 2026 (August / September)

Equal Opportunity Statement:

Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer. We welcome all qualified applicants to apply, regardless of age, color, family or medical leave, gender identity or expression, marital status, disability, race and ethnicity, religion, sexual orientation, or any other characteristic protected by local laws.

XML job scraping automation by YubHub

Responsibilities:

• Take ownership of and develop audio software backend components for selected products in the audio PC domain.
• Design, implement, and maintain core software bricks, including the audio processing engine, audio parameter manager, Windows APOs, audio offload libraries, and associated Windows components.
• Address technical debt, including code readability, performance bottlenecks, multithreading issues, and long-term maintainability.
• Investigate and correct complex bugs reported by OEM clients and internal teams, ensuring efficient analysis and effective communication when necessary.
• Support offload platforms such as Intel Smart Sound Technology (Intel SST), AMD LPAP, and potentially others.
• Adapt our software components to evolving Windows ecosystem and associated platforms, including API changes, platform constraints, hardware evolution, and transitions like ARM64.
• Contribute to software quality through code testing practices, debugging, and sustainable engineering principles.
• Collaborate closely with software engineers, audio experts, QA teams, and product teams to diagnose issues related to various components and improve product quality.
• Contribute to continuous improvement of processes, tools, and collaboration modes.

Requirements:

• 7+ years of experience in modern C++ programming.
• Solid knowledge of Windows audio programming, including several of the following:

+ Windows audio architecture (WASAPI, APOs). + Real-time and multithreading issues. + Performance and optimization. + Resource management.

• Production of reliable and durable code.
• Experience in code testing, including functional and unit tests.
• Strong debugging and problem-solving skills for complex technical issues.
• Ability to work independently and collaboratively.
• Strong sense of responsibility, self-awareness, and proactive communication.
• Proficiency in English (reading, writing, and speaking).

Nice-to-Have:

• Knowledge of one or more of the following:

+ ARM64 development. + Audio offload solutions like Intel SST and AMD LPAP. + Embedded programming. + Cadence HiFi DSP family. + Digital signal processing. + Deep learning inference technologies like WinML or ONNX.

• Familiarity with tools like Visual Studio, Visual Studio Code, GitHub, TeamCity, Azure, Copilot, Jira, and Confluence.

In 1 month, you will:

• Get familiar with our products, architecture, tools, and working methods.
• Understand the main components of our audio software stack, including the audio processing engine, APOs, offload libraries, and associated Windows components.
• Start contributing to bug fixing, code analysis, and development tasks on selected components.

In 3 months, you will:

• Take ownership of selected audio software backend components.
• Actively contribute to resolving issues reported by OEM clients and improving overall code quality.
• Deliver improvements related to maintainability, performance, and robustness of multithreading.
• Participate in technical discussions around platform evolution, offload support, and Windows ecosystem changes.
• Contribute to testing and validation practices to improve software reliability.

In 9 months, you will:

• Gain the trust of your peers and become the go-to software engineer for one or more critical audio components (audio processing engine, offload libraries, and/or Windows components).
• Contribute significantly to technical debt reduction, code durability, and software robustness.
• Support or start leading integration efforts for new offload platforms and major platform evolutions.
• Contribute to defining and evolving our audio software backend strategy, tools, and engineering practices, facilitating the construction, maintenance, and diagnosis of complex systems.
• Contribute significantly to the evolution of our engineering culture and collaboration model.

The Perks:

We offer a competitive salary, diverse benefits, and a fantastic workplace with people who love gaming and technology.

XML job scraping automation by YubHub

EA Security

Join the SPEAR (Secure Product Engineering & Anti-Cheat Response) Anti-Cheat Engineering team, part of EA Security! Our mission is to ensure fair play across our many PC titles. We deliver EA Javelin Anticheat, a kernel anti-cheat solution that promotes an even playing field for the millions of fans that play EA games.

We are looking for a senior engineer who is experienced with Windows and ARM to join our anti-cheat development team, strengthening Electronic Arts' position as one of the industry leaders in game security and integrity. Your primary responsibility will lead the development of our Windows on ARM support, thereby extending our game security capabilities into new markets.

You will report to the Director of the Anti-Cheat Engineering team, located in the US. You can work hybrid remote/in-office at any of our amazing North American offices, like in Austin or Vancouver.

Responsibilities:

• Develop a native ARM driver for EA Javelin Anticheat, porting existing functionality to work on ARM
• Develop support for loading different versions of EA Javelin Anticheat based on user hardware
• Implement build and test pipelines for automated validation of EA Javelin Anticheat on ARM hardware
• Design and solve for new security threats on ARM devices
• Chart a path for EA Javelin Anticheat to support additional OS and hardware in the future, such as Linux and Proton.

Requirements:

• 6+ years of experience with C++ or other low-level programming languages
• 3+ years of experience with low-level Windows internals and processor intrinsics
• 2+ years of experience with Clang and LLVM
• 2+ years of experience in debugging at the machine code level
• Previously shipped Windows drivers on x86_64 and ARM64

Bonus Skills:

• Experience developing or reversing obfuscation or encryption technologies
• Experience developing anti-tamper, anti-virus, or anti-malware technologies
• Previously shipped anti-cheat solutions on Linux

XML job scraping automation by YubHub

Battlefield is a storied franchise renowned for uncompromising combat gameplay and all-out warfare, for over two decades. 100 million players and 5 billion hours played later, Battlefield Studios is defining the future of the first-person shooter with the biggest launch in franchise history with Battlefield 6, and a new era beginning with Battlefield REDSEC.

United under the banner of Battlefield Studios, 4 world-class teams across Criterion, DICE, Motive, and Ripple Effect have come together to focus on the future of the franchise, a connected Battlefield universe filled with immersive experiences built on our unique DNA.

We’re looking for a Senior Software Engineer (Gameplay AI) to join our team. The ideal candidate is a passionate and experienced developer who thrives in collaborative environments, excels at solving complex technical challenges, and is eager to shape the future of AI technology in the Battlefield franchise. You will collaborate with engineers, designers, and technical leaders to build scalable AI technology, and support innovation across current and future Battlefield titles. You are motivated by seeing your work impact millions of players and enjoy mentoring others while pushing the boundaries of gameplay AI.

Responsibilities

• Implement gameplay AI features in partnership with the AI Design team.
• Develop new AI technology and improve existing Battlefield AI systems.
• Contribute to shared AI technology used across multiple Battlefield projects.
• Collaborate with cross-functional teams to deliver reliable AI features.
• Mentor engineers through technical guidance, reviews, and knowledge sharing.

Required Skills and Experience

• Minimum of 5 years of professional experience in video games development or equivalent software development experience.
• Experience developing gameplay systems in C++.
• Experience with AI systems such as behavior trees, goal-oriented action planning and pathfinding algorithms.
• Experience debugging, profiling, and optimizing performance-critical code.
• Experience working within large-scale game development environments.

XML job scraping automation by YubHub

Responsibilities:

• Designing end-to-end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.

• Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.

• Develop generalizable approaches to support diverse ODDs and Country/region expansion

• Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized

• Leverage data simulation and augmentation for solving extreme scenarios

• Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

Requirements:

• Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

• 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.

• Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).

• Experience in data-driven development and collaboration with data and ground truth teams.

• Strong programming skills in python and/or C++.

• Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways to Stand Out from the Crowd:

• Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.

• Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.

• Proven expertise in deep learning backed up by technical publications in leading conferences/journals.

• Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.

XML job scraping automation by YubHub

Key responsibilities include:

• Working within a multi-functional team on various projects involving pre-silicon and post-silicon hardware design and related data
• Supporting circuit design engineers to automate typical design tasks and improve efficiency
• Building flows and methodology around vendor EDA tool and design collaterals to streamline design and verification workflows
• Working closely with design engineers to support the existing development infrastructure, identify possible improvements and solutions
• Employing good software engineering practices to develop complex and scalable systems

Requirements include:

• MS in Computer Science/Engineering or equivalent experience; PhD preferred
• 3+ years of experience in VLSI CAD flows and methodology
• Prior experience and background in VLSI is required
• Good programming skills in multiple languages (C++, Tcl, Python, Makefile or other scripting languages)
• Good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed

Preferred qualifications include:

• Experience with design collaterals such as .v, .gv, .lib, gds, etc...
• Enjoy working with multiple levels and teams across organizations
• Effective interpersonal and technical presentation skills
• Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

XML job scraping automation by YubHub

In this role, you will:

• Help develop and grow our data collection labs, owning the entire integration lifecycle, from identifying and sourcing new hardware to collaborating with mechanical and electrical engineers on setup, software integration, and operational deployment.

• Develop innovative robot control interfaces suited to a variety of morphologies, environments, and tasks.

• Collaborate closely with research and engineering teams to develop automation tools and machinery that facilitate the evaluation of advanced robotic policies.

• Lead the design and implementation of data collection, visualization, and quality control processes.

You might thrive in this role if you:

• Have 5+ years of professional software engineering experience developing and shipping production-quality systems in robotics or hardware-integrated environments.

• Have extensive experience integrating and deploying industrial automation systems, off-the-shelf robotics platforms, or custom hardware into production environments.

• Bring hands-on experience delivering production-quality software within collaborative, cross-functional engineering teams.

• Have strong proficiency in Rust or C++.

XML job scraping automation by YubHub

Your responsibilities will include:

• Designing and implementing tools to automate product definitions, data collection, test case execution, and results analysis
• Developing methodologies to optimize HW/SW performance and power management
• Collaborating with different architecture and design teams on improvement areas
• Researching new architectural features for next generation GPU, CPU, and SOC to optimize performance and power features development
• Utilizing AI-driven techniques to enhance performance prediction models and power management strategies

To be successful in this role, you will need to have a strong background in electrical engineering (EE) or computer engineering (CE), with a focus on performance and power management. You should also have experience with modeling and simulation tools for performance validation at scale, as well as familiarity with the latest advancements in AI and their applications in power and performance optimization.

In addition to your technical skills, you will need to have strong problem-solving, collaboration, and communication skills. You should be able to work effectively in a team environment and communicate complex technical concepts to both technical and non-technical stakeholders.

If you are a motivated and detail-oriented individual with a passion for performance analysis and optimization, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

Nova exists within the mainline Linux kernel and is developed publicly. Development occurs through discussions within the kernel mailing threads alongside Nouveau, the DRM subsystem, and the Rust for Linux community.

Our team builds the kernel-side abstractions that make a modern GPU driver possible in Rust, including driver core, PCI configuration, DMA address translation, device input/output and IRQ, devres, auxiliary bus, firmware loader, together with the Rust allocator shim.

Responsibilities:

• Architect and implement features in nova-core (the chipset-agnostic core driver) and nova-drm (the DRM front-end), targeting existing and upcoming NVIDIA GPU generations from Turing through Blackwell.

• Help build the technical direction of Project Nova and the DRM Rust backend shared by other in-tree Rust GPU drivers, including patch review, development dialogues, and coordinating releases on the kernel mailing lists.

• Maintain and extend Rust kernel infrastructure spanning PCI, DMA mapping, device I/O and IRQ, driver core, resource management, support bus, firmware loading components, and the Rust allocator shim.

• Drive cross-subsystem cleanups that the kernel needs in order to grow safe Rust support, for example generalizing core driver-model infrastructure across multiple buses such as PCI, platform, and SPI.

• Collaborate with the Rust for Linux community, DRM subsystem maintainers, and Nova reviewers on patch review, design discussions, and release management on lore.kernel.org and dri-devel.

Requirements:

• BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience).

• Strong Rust and C programming skills. Some familiarity with C++ would be a plus.

• Minimum of 10+ years of related development experience.

• Experience working with large codebases, preferably the upstream Linux kernel.

• Background with kernel device model, driver core, and OS interfaces for memory management, IRQ handling, and synchronization.

• Experience writing and debugging kernel code in multi-threaded, interrupt, and DMA contexts.

• Strong written communication, comfortable working entirely in public on open-source mailing threads such as rust-for-linux, dri-devel, nouveau, linux-pci, driver-core, and nova-gpu.

Nice to Have:

• Existing upstream maintainer-ship in the Linux kernel, especially in the use of Rust within the Linux environment, DRM, or driver core.

• Track record of contributions to drivers/gpu/nova-core/,drivers/gpu/drm/nova/, or rust/kernel/

• Familiarity with DRM Rust infrastructure such as GPUVM, DRM GPU scheduler, GEM, and DRM device abstractions.

• Experience with PCI device bring-up, or other GPU bring-up work on real hardware.

• History of representing a project in public technical forums such as LPC, Kangrejos, FOSDEM, or dri-devel hackfests.

XML job scraping automation by YubHub

Developing software within a leading hardware company means getting to almost exclusively focus on the latest processes and most advanced designs. We're not bogged down by legacy support, niche roles, or convoluted approval processes. Our developers enjoy unusually high intellectual freedom and the ability to explore broad roles.

Responsibilities:

• Invent new optimization engines that fuse traditionally independent engines (e.g., co-optimization of legalization and sizing) with the objective of increasing chip frequency while minimizing power consumption across a suite of internal optimization tools.

• Improve algorithms (in C++) for gate-level sizing, buffering, useful clock skew, cell legalization, power minimization, ECO routing, and incremental parasitic extraction.

• We as a team own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment.

Requirements:

• Masters or PhD in Electrical Engineer or Computer Science (or equivalent experience).

• Experience with VLSI algorithms development using C++.

• Understanding of VLSI timing optimization and related concepts, including cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion, etc.

• Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, and StarRC and typical design flows written in Perl, Tcl, and Python.

Nice to Have:

• C++14 or newer experience, such as lambdas and concurrency.

• Understanding of how multiple Physical Design steps interact and how they can potentially be fused together to form hybrid engines that result in better PPA.

• Experience in high performance software design including multithreading, distributed computing, efficient memory and I/O use, etc.

• Highly driven to craft software towards improving PPA with a dedication to continuous improvement.

• Experience with reinforcement learning, GNNs (Graph Neural Networks), and other relevant machine learning frameworks, especially as applied to physical design.

XML job scraping automation by YubHub

The ideal candidate will have a BS/MS in Computer Science or equivalent experience, proficiency in C++ and Python, and 6+ years of XR/Robotics-related experience. You should be able to travel to attend partner design workshops, onsite support, and various tradeshows, events.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. You will also be eligible for equity and benefits.

XML job scraping automation by YubHub

Your responsibilities will include: Collaborating with researchers and engineers on focused projects in humanoid robotics loco-manipulation and mobile manipulation areas. Supporting the development and advancement of GR00T and Cosmos foundation models. Helping develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks. Advanced technologies for robot learning and synthetic data generation using human videos. Designing, implementing, and testing novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments. Driving a scoped internship project from model/algorithm design and sim-to-real transfer through to on-robot validation, with the potential for open-source contributions or publications. Collaborating cross-functionally with teammates and partners to share findings and advance shared goals.

XML job scraping automation by YubHub

What you'll be doing:

• Own and improve the end-to-end path for deploying Warp-based robotics and simulation components onto embedded platforms such as Jetson.
• Build and maintain reproducible deployment workflows including cross-compilation, CI, packaging, and containerized delivery for embedded robotics targets.
• Optimize on-device performance under real constraints including latency, throughput, memory footprint, thermals, and power.
• Debug complex issues across the stack spanning Python, C++, CUDA, drivers, and embedded Linux, including hard-to-reproduce device-specific failures.
• Integrate Warp components into robotics applications and frameworks, including ROS 2 and Isaac-based stacks, and work with partner teams to unblock adoption.
• Develop system-level testing, validation, and performance regression infrastructure for embedded targets.
• Collaborate with compiler, runtime, and kernel engineers to improve portability and performance across GPU architectures and embedded configurations.

What we need to see:

• B.Sc. or M.Sc. or Ph.D. or equivalent experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field.
• 8+ years of experience with software engineering skills in C++ and Python, comfortable working across build systems and deployment tooling.
• Experience shipping software to embedded or edge devices, ideally in robotics, autonomy, or real-time systems.
• Practical understanding of Linux-based deployment workflows including packaging, dependencies, drivers, and debugging in constrained environments.
• Ability to reason about GPU performance and memory behavior, and to diagnose bottlenecks using profiling and system tools.
• Strong collaboration and communication skills, with a bias toward execution and unblocking users.

XML job scraping automation by YubHub

We are now looking for a GPU Performance Engineer for Neural Reconstruction!

In this role, you will help make neural reconstruction faster, more scalable, and more reliable. You will work across PyTorch, CUDA, C++, and GPU profiling to optimize training and rendering workflows used in sophisticated 3D reconstruction systems.

Responsibilities:

• Profile end-to-end neural reconstruction workflows and identify bottlenecks across data loading, initialization, training, rendering, evaluation, and export.
• Improve CUDA and PyTorch performance for Gaussian Splatting and neural reconstruction workloads, including camera/lidar data, multiview batching, large-scene rendering, and memory-sensitive training paths.
• Analyze GPU performance using tools such as Nsight Systems, Nsight Compute, NVTX, PyTorch Profiler, CUDA events, and benchmark dashboards.
• Optimize sparse and irregular rendering workloads, including tile-level masking/culling, sparse gradients, batching, and multi-GPU execution.
• Translate high-impact Python, NumPy, or PyTorch bottlenecks into efficient CUDA/C++ or PyTorch-native implementations when appropriate.
• Validate that performance improvements preserve reconstruction quality, numerical behavior, camera/lidar correctness, and production reliability.
• Build repeatable benchmarks, regression tests, and profiling workflows to catch performance and quality regressions early.
• Collaborate with researchers, CUDA engineers, ML engineers, and production teams to turn promising prototypes into maintainable, reviewable, production-quality code.

Requirements:

• BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, Robotics, Computer Vision, Machine Learning, or a related field along with 12+ years of experience.
• Strong programming skills in Python and C++!
• Hands-on experience with PyTorch or a similar tensor/autograd framework.
• Experience optimizing GPU-accelerated workloads using CUDA, C++/CUDA extensions, or related GPU programming approaches.
• Practical experience with profiling and performance analysis, including root-causing CPU/GPU bottlenecks, synchronization overhead, memory pressure, kernel launch overhead, and framework-level inefficiencies.
• Ability to develop benchmarks and validate that optimizations preserve correctness, numerical behavior, and user-visible quality.
• Strong communication skills, including the ability to explain performance tradeoffs, risks, and results to research and engineering partners.

Preferred Qualifications:

• Experience with Gaussian Splatting, NeRF, differentiable rendering, rasterization, neural rendering, SLAM, 3D reconstruction, or robotics/autonomous-vehicle perception pipelines.
• Deep CUDA performance experience, including memory access patterns, shared memory, atomics, occupancy, launch configuration, synchronization, and numerical stability.
• Experience optimizing PyTorch workloads with custom operators, fused kernels, sparse tensors, distributed training, or distributed rendering.
• Familiarity with camera and lidar geometry, projection models, calibration, rolling shutter, depth rendering, or multi-sensor reconstruction.
• Experience improving large production ML systems where quality metrics, training speed, memory footprint, and developer velocity must be balanced.

XML job scraping automation by YubHub

ñas you'll be doing: Drive architectural specifications to closure across multiple stakeholders. Develop written specifications for key component-level and system-level designs. Embody specifications in an executable model used by many customers across NVIDIA. Ensure high performance using good C++ software practices, solid algorithms and data structures, and parallelism. Resolve performance and correctness issues across chip and hardware subsystems by working across teams.

What we need to see: A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience. Expert programming and software skills in C++. Experience in RTL design and/or architecture with the ability to understand common chip design concepts. An automation-centered mindset. A desire to improve work efficiency using AI.

Ways to stand out from the crowd: Experience with systems-level/architectural/chip modeling, profiling, and analysis. Strong combined RTL and C++ skillset.

XML job scraping automation by YubHub

Notably, NVIDIA has been a major contributor to SONiC since its inception, and our technology is already powering Ethernet Switches, DPUs, and soon BMCs, making SONiC an integral component in RDMA and AI datacenter environments.

As Software Director, you will oversee the design, development, and optimization of networking protocols for switching, routing, analytics, telemetry, and more. You will manage global teams composed of both junior engineers seeking mentorship and seasoned embedded software experts who provide leadership within and beyond the group.

Collaboration will be key, as the role involves working closely with various design and verification teams, architects, product marketing professionals, and both internal and external customers to ensure end-to-end project success.

Key responsibilities include:

Designing, developing, and optimizing networking protocols for switching, routing, analytics, telemetry, and more Managing global teams of junior and senior engineers Collaborating with design and verification teams, architects, product marketing professionals, and internal and external customers

Requirements include:

B.Sc. in Software, Computer, Electrical, or Communication Engineering, or equivalent experience At least 15 years of overall experience, including a minimum of 7 years managing R&D engineers Experience in C, C++, and Python development Familiarity with routing protocols such as BGP, EVPN, and SRv6 In-depth knowledge of Linux usage and internals Combined with creativity, motivation, and a strong value-driven mindset

To stand out from the crowd, expertise in leading both software and hardware integrations, as well as embedded software development, is highly valued. Additionally, hands-on proficiency in C, C++, and Python development, familiarity with a variety of software development tools and methodologies, and ability to dive deep into technical details are essential.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

XML job scraping automation by YubHub

The impact you will have:

• Develop the compute abstractions that provide powerful capabilities for all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance
• Design the workload orchestration and scheduling systems that orchestrates all types of workloads (serving, batch, stateful, GPU) with high performance and efficiency
• Scale the fleet management systems that launch and configure millions of VMs every day across cloud providers
• Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset
• Lead cross-team initiatives that span product and infrastructure surface areas.

What we look for:

• BS (or higher) in Computer Science or related field
• 10+ years of experience designing and building large-scale distributed systems
• Strong proficiency in one or more languages such as Java, Scala, Go, or C++
• Experience with service-oriented architectures and large scale distributed systems
• Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker)
• Track record of shipping infrastructure that supports mission-critical workloads at scale

XML job scraping automation by YubHub

Join us if you want to solve problems at the intersection of infrastructure and machine learning that directly enable critical customers.

Core Responsibilities:

• Building high-performance model serving infrastructure that integrates with security models, hardware constraints, and different inference engines
• Designing intelligent request handling including authentication, rate limiting, concurrency control, and audit logging for multi-tenant model access
• Building and maintaining packaging and deployment pipelines enabling fast, secure, and reliable model rollouts across on-premises and air-gapped environments
• Developing observability for production AI systems to enable easy service monitoring and fast incident triage and resolution
• Debugging complex issues and performance problems throughout the stack, including open source inference engines, container runtimes, and GPU drivers, in environments you cannot always access directly
• Designing and running testing and benchmarking infrastructure that validates model deployments across varying GPU hardware before they reach production
• Working with product teams and customers to understand requirements, debug production issues, and deliver the models and capabilities they need
• Integrating hosted model infrastructure with Palantir's deployment, configuration, and identity systems

What We Value:

• Ownership mindset and bias toward quality. Our software runs in environments where direct access for debugging is limited or unavailable.
• High empathy for customer needs and drive to deliver reliable, easy-to-use models
• Ability to work effectively across multiple languages and layers of the stack, from backend services and ML tooling to container orchestration and deployment configuration
• Strong debugging skills and motivation to trace problems from application code through containers, orchestration, and hardware
• Curiosity about emerging AI capabilities and the ability to quickly evaluate and integrate new models and technologies as the landscape evolves
• Active US Security clearance, or eligibility and willingness to obtain a US Security clearance is beneficial, but not necessary

What We Require:

• 4+ years of professional software engineering experience building and operating production systems
• Engineering background in Computer Science, Mathematics, Software Engineering, Physics, or similar field
• Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages. Familiarity with the Python ML ecosystem is valuable.
• Experience with containers, Kubernetes, and deploying backend services in production environments
• Strong written and verbal communication skills and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality

Additional Information:

• Salary: $145,000 - $200,000/year
• Benefits: medical, dental, and vision insurance, voluntary life insurance, commuter benefits, relocation assistance, paid time off, 10 paid holidays, supportive leave of absence program, paid leave for new parents, fertility and family building benefits, stipend to help with expenses that come with a new child, 401k plan
• Life at Palantir: promoting health and well-being across all areas of Palantirians' lives, celebrating individuals' strengths, skills, and interests, and optimizing opportunities to grow and succeed

XML job scraping automation by YubHub