Your work will touch the full GenAI inference stack , from kernels and runtimes to orchestration and memory management. You will contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference.

Key responsibilities include:

• Collaborating with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
• Optimizing for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
• Building and maintaining instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
• Developing and enhancing scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
• Supporting reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning
• Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead
• Collaborating cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams
• Documenting and sharing learnings, contributing to internal best practices and open-source efforts when possible

Requirements include:

• BS/MS/PhD in Computer Science, or a related field
• Strong software engineering background (3+ years or equivalent) in performance-critical systems
• Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.
• Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)
• Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning
• Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)
• Experience building instrumentation, tracing, and profiling tools for ML models
• Ability to work closely with ML researchers, translate novel model ideas into production systems
• Ownership mindset and eagerness to dive deep into complex system challenges
• Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving

XML job scraping automation by YubHub

You'll be working closely with our Design team to evolve and scale our component library, ensuring it's accessible, composable, and well-documented. You'll also be responsible for profiling, diagnosing, and fixing client-side performance bottlenecks, establishing performance budgets, and building dashboards to keep the team honest.

As a force multiplier, you'll act as a coach and enablement specialist, helping product teams adopt improvements and level up their craft. You'll write playbooks and docs, deliver tech talks, pair with product engineers, and create local tooling to improve developer speed and quality.

In this role, you'll have the opportunity to work on a wide range of challenging projects, from performance optimization to design system evolution. You'll be part of a flat organizational structure, where everyone is valued and empowered to contribute. And, as a remote-friendly company, you'll have the flexibility to work from anywhere, with opportunities for in-person collaboration when needed.

If you're passionate about frontend platform work, enjoy making an entire engineering organization faster and more effective, and are excited about the prospect of joining a dynamic and growing company, we'd love to hear from you!

XML job scraping automation by YubHub

Responsibilities

• Develop models and infrastructure for the integrated simulation pipeline in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement test scenarios and write unit, system, and regression tests.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Contribute to platform-agnostic simulation tooling to accelerate future development efforts
• Perform verification and validation (V&V) analysis activities on model tools.
• Conduct system performance analysis and generate reports and visualizations.
• Utilize best practices in C++, simulation architecture, and performance engineering.

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for innovative, motivated, and experienced leaders to join us and move this field forward.

Key reasons to join Cyngn:

• We operate with the energy of a startup, but with the liquidity of a publicly-traded company.
• Our autonomous vehicles are deployed to real clients right now, so your work will have a tangible, visible impact.
• We're a welcoming, diverse team of sharp thinkers and kind humans.

About this role:

As a Robotics Integration Engineer, you'll help bring autonomy to life by integrating hardware + sensors + vehicle software into a reliable, production-ready stack.

Responsibilities

• Integrate and validate sensors such as LiDAR, cameras, IMU/GNSS, and other vehicle hardware.
• Own mission-critical system pieces: state management, health monitoring, diagnostics, logging, and fleet-ready tooling.
• Work on vehicle communications including CAN bus (interfaces, message handling, reliability, basic ECU/firmware touchpoints).
• Build and maintain the glue that makes the stack work: drivers, bring-up scripts, config management, calibration workflows, and time synchronization basics.
• Troubleshoot complex issues across hardware + software + networking (timing drift, dropped frames, driver issues, flaky connections, bandwidth constraints).
• Profile and optimize performance for real-time-ish workloads (high-bandwidth sensor streams, CPU/memory bottlenecks, startup stability).
• Help create and maintain integration tests and validation workflows (reproducible tests, automated checks, regression catches, log replay).
• Collaborate across perception, localization, controls, and product teams to integrate systems cleanly and ship improvements quickly.
• Write clear documentation for integration procedures, system configuration, and “how to debug this when it breaks.”

Qualifications

• 2–4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware.
• Strong programming ability in: C++, Python, Shell scripting, and Linux.
• Solid experience with Linux (Ubuntu), including building, packaging, and running systems in the field.
• Comfort with sensor + hardware bring-up (drivers, calibration workflows, time sync concepts, logs, reproducible setup).
• Understanding of networking fundamentals (TCP/UDP, bandwidth/latency tradeoffs, basic multicast, and debugging with common tools).
• Strong debugging instincts: you can form a hypothesis, gather evidence, and drive to root cause across layers.
• Clear communicator with good documentation habits and a low-ego, team-first approach.

Bonus Qualifications

• Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks.
• Experience with CAN tooling (SocketCAN, DBC workflows) and/or ECU/firmware update flows.
• Experience with containerized deployments (e.g., Docker) or production deployment patterns on vehicles.
• Familiarity with profiling tools (perf, top/htop, valgrind, gdb) and performance tuning.
• Exposure to OTA / device management systems (e.g., AWS Greengrass) or fleet rollout practices.
• Understanding of safety-oriented development practices (fault handling, watchdogs, redundancy concepts).
• Experience with simulation environments (e.g., NVIDIA Isaac Sim, Gazebo, or similar) for integration and regression testing.
• CI/CD experience for robotics stacks (automated builds/tests, hardware-in-the-loop or log replay workflows).

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

XML job scraping automation by YubHub

The Common Engineering Components (CEC) team, part of Synopsys Central Engineering, develops and maintains productivity-enhancing platforms, tools, and services enabling Synopsys R&D engineers, Field Application Engineers (FAEs), and customers to efficiently identify, diagnose, and resolve issues in Synopsys' Electronic Design Automation (EDA) tools. Our work is critical to the performance and scalability of EDA solutions used in silicon chip design.

We are looking for a Senior Staff Software Engineer to join our team. As a Senior Staff Software Engineer, you will be responsible for delivering enterprise-scale software solutions to internal and external stakeholders, ensuring reliability and performance at every stage. You will collaborate with multiple global engineering teams to achieve common goals and successful project delivery. You will define technical requirements and drive implementation of next-generation productivity platforms. You will mentor engineers, fostering a culture of technical excellence, collaboration, and innovation within the team.

You will utilize C/C++, Python, Unix/Linux system-level knowledge, and advanced debugging and performance profiling tools to deliver robust, scalable solutions and resolve critical issues efficiently. You will accelerate Synopsys' capability to deliver cutting-edge solutions for customers and partners worldwide. You will enable seamless integration of advanced computing platforms into chip design and verification workflows. You will drive operational efficiency and scalability for mission-critical applications and services. You will influence technology strategy and architecture decisions, shaping the future of Synopsys' product offerings. You will empower engineering teams through mentorship, fostering innovation and technical growth. You will enhance customer satisfaction by delivering reliable, high-performance software solutions tailored to evolving industry needs.

You will have 8–14 years of professional software development experience, ideally in High Performance Computing (HPC) or large-scale systems. You will have strong Unix/Linux systems programming background, including multithreading, synchronization, sockets, and inter-process communication (IPC). You will have proven experience designing and working with distributed systems, including networking, databases, and containerized environments. You will have proficiency in C/C++ and Python, with hands-on experience using debugging and performance profiling tools. You will have excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.

You will be an inclusive leader and collaborator, committed to fostering diverse perspectives and teamwork. You will be analytical and detail-oriented, with a passion for solving challenging technical problems. You will be adaptable and proactive, able to thrive in dynamic, rapidly evolving environments. You will be curious and innovative, always seeking new ways to leverage technology for impactful results. You will be a mentor and coach, dedicated to supporting the growth and development of others.

XML job scraping automation by YubHub

Responsibilities

• Develop and implement systems and tools for the engine, rendering, and technological needs such as streaming, world editing, shaders, lighting, particles, and effects.
• Optimize memory and performance to meet the requirements of the target platforms.
• Provide support to technical artists and other team members as needed to use the technology correctly and efficiently.
• Analyze and propose improvements to the current 3D technologies in our engine.

Requirements

• 5 years of experience in a game development studio.
• Advanced knowledge of C++ and multi-threading techniques.
• Good understanding of modern GPU rendering pipelines and ability to use them efficiently.
• Familiarity with console APIs.
• Mastery of linear algebra 3D.
• Experience with modern rendering techniques such as TAA, deferred rendering, reflections, and global illumination.
• Fluent in French and English (spoken, written, and read).

Nice to Have

• Experience with profiling tools.
• Experience with ray tracing software.

How to Apply

If this opportunity seems like a new and exciting step in your career, we would be delighted to meet you. We know that some people hesitate to apply when they are not sure they meet all the requirements for a job. If you are unsure, take the leap! Share with us what you can bring to the project; we are eager to discover your unique talents, whether it's for this job or a future opportunity. Send your CV, cover letter, and achievements (professional and personal projects) via the form below.

The next steps will be:

• Review of your application
• Technical test (if applicable)
• Interview with a member of the HR team (remote)
• Technical interview with the project leads (in person, when possible, and we will reimburse your travel expenses to Bordeaux)

If you want to learn more about us, take a look at our LinkedIn page; there's a lot to discover about life at Asobo!

XML job scraping automation by YubHub

What you'll do

• Develop and enhance algorithms for resistance, capacitance, and coupling extraction.
• Model and integrate process-dependent effects (e.g., etch bias, line end extension, thickness variation) into extraction frameworks to ensure signoff-grade accuracy.
• Build and optimize numerical solvers—iterative methods, preconditioners, and low-rank approximations—with high performance and numerical stability.

What you need

• MS/PhD in EE, CE, CS, Applied Math, Physics, or related field.

XML job scraping automation by YubHub

Microsoft are looking for a talented Senior Software Engineer at their Suzhou office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the search engine and online advertising ecosystem. You'll work directly with leadership to shape the company's direction in the search and advertising markets.

About the Role

The R&D of Search Ads aims to build an online advertising ecosystem of users, advertisers, and the search engine. Bing Search Ads Understanding team is chartered to deliver world class algorithm using web scale data. Our mission is to drive user satisfaction, advertiser ROI and Bing revenue. A core challenge is to match advertisers’ “Ad display” and users’ “query” by build an intelligent system to really understand the users need. This is a very hard problem that demands the most advanced AI models and sophisticated engineering systems. Join us to work on projects highly strategic to Bing search in a fun and fast-paced environment!

Accountabilities

• Design, develop, and maintain high-performance software in C/C++ and Python, including GPU programming with CUDA, ROCm, or Triton.
• Optimize model inference and training pipelines for speed, throughput, memory efficiency, and cost across GPU platforms.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python, CUDA, or ROCm OR equivalent experience.

Technical skills:

• Practical experience writing new GPU kernels, going beyond experience of GPU workloads with existing library kernels.

Personal attributes:

• Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.

Benefits

• Work on projects highly strategic to Bing search in a fun and fast-paced environment.
• Collaborate with platform teams to integrate and tune solutions on emerging accelerator stacks and rapidly evolving toolchains.
• Partner with internal and external stakeholders to translate requirements into scalable performance features and optimizations for state-of-the-art models.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Principal Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Software Engineer, you will be responsible for designing and implementing complex software systems that drive innovation in AI infrastructure. You will work with cutting-edge hardware and software stacks to deliver best-in-class inference performance while optimizing for cost, leveraging open-source projects to advance deep learning applications. You will collaborate with external and internal teams to identify new areas for improvement and contribute to innovations that enhance model performance and deployment.

Accountabilities

• Engage directly with key partners to understand, design, and implement complex inferencing capabilities for state-of-the-art deep learning models, driving innovations in AI infrastructure.
• Work with cutting-edge hardware and software stacks to deliver best-in-class inference performance while optimizing for cost, leveraging open-source projects to advance deep learning applications.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with model compression (quantization, distillation, SVD, low-rank methods).
• Experience in building high-throughput inference serving stacks (continuous batching, KV-cache optimizations, routing).

Personal attributes:

• Solid experience in GPU inference optimization (CUDA, TensorRT, Triton, or custom GPU kernels).
• Proficiency in profiling tools (Nsight, TensorBoard, PyTorch profiler) and ability to identify CPU/GPU bottlenecks.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

XML job scraping automation by YubHub

XML job scraping automation by YubHub

What you'll do

• Lead a team that maintains, optimises and enhances the cloud engine technology behind UEFN
• Be a vision holder for our medium and long term UEFN pipeline development strategy
• Be responsible for live operational management of the UEFN cloud engine pipeline

What you need

• Proven experience leading an engineering team
• Experienced C++ engineering skills

XML job scraping automation by YubHub

What you'll do

• Direct and lead a team of technical artists focused on creating optimized and high-quality visuals for mobile and multi-platform experiences; collaborate with art, design, and programming teams to find the right balance between visual fidelity, performance, and production efficiency

What you need

• Experience in directing or supervising technical art for real-time projects on mobile or multi-platforms

Why this matters

As a Director, Art Technical, you will play a critical role in shaping the visual direction of Epic Games' mobile experiences, ensuring that they are engaging, immersive, and of the highest quality.

XML job scraping automation by YubHub

What you'll do

• Design new features or additions to existing features.
• Work with designers to gather requirements and propose solutions.
• Implement a feature's logic, game flows, and screens.
• Collaborate with a large team of other engineers.

What you need

• 5+ years of C++ software development.
• 1+ years of technical leadership experience.
• Knowledge of data-driven and object-oriented design.
• Knowledge of design patterns, such as MVVM.
• Proficiency with debugging and profiling tools.
• Experience with version control systems.
• Experience architecting and implementing complex systems within a large codebase.

XML job scraping automation by YubHub

What you'll do

• 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.

What you need

• 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#).

Why this matters

As a Systems Software Engineer, you will play a critical role in shaping the future of interactive entertainment and creating the next great EA SPORTS game.

XML job scraping automation by YubHub