Key Responsibilities

scorerate scalable and efficient solutions using iOS SDK and Xcode. Develop applications using Swift or Objective-C. Implement intuitive and engaging UI/UX designs. Debug and troubleshoot to resolve any application issues. Optimize code for performance and scalability. Collaborate with cross-functional teams to achieve project goals.

Required Skills and Experience

Proficiency with iOS SDK and Xcode. Experience in Swift or Objective-C programming. Solid understanding of UI/UX design principles. Strong troubleshooting and debugging skills. Experience with code optimization techniques.

Benefits

Competitive salary and substantial benefits package. Opportunities to work on cutting-edge technologies and projects. Flexible work hours, with options for remote work. Continuous professional development and career growth opportunities.

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As a Power & Resource Efficiency Engineer, you'll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.

You'll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.

Responsibilities

• Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.

• Design IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.

• Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.

• Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.

What We're Looking For

• Deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis.

• Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.

• Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.

• Exposure to accelerator deployments and their power management interfaces strongly preferred.

• Demand response, grid interaction, or behind-the-meter generation experience is a plus.

• Ability to translate between infrastructure engineering, software teams, and external partners.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.

• 5+ years of experience in data center infrastructure or facility engineering.

• Demonstrated experience with data center power distribution and cooling system architectures.

• Experience building or operating software-based power management, load scheduling, or control systems.

• Proficiency in Python or similar languages for statistical modeling, simulation, or automation of data center infrastructure optimizations.

• Familiarity with SCADA, BMS, EPMS, or industrial control systems and associated protocols (Modbus, BACnet, SNMP).

• Track record of cross-functional collaboration across hardware, software, and facilities teams.

Preferred Qualifications

• Master's or PhD in Controls, Power Systems, or related discipline and 3+ years of experience in data center infrastructure or facility engineering.

• Experience with accelerator-class deployments and their power management interfaces.

• Background in control theory, dynamical systems, or cyber-physical systems design.

• Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation.

• Familiarity with reliability engineering methods.

• Experience with SLA development, availability modeling, or service credit frameworks.

• Exposure to ML/optimization techniques applied to infrastructure or energy systems.

Salary

The annual compensation range for this role is $320,000-$405,000 USD.

Benefits

We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with our team.

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As a Senior Full Stack Engineer, you'll design, build, and maintain end-to-end web solutions , from modern UIs to backend services, APIs, and infrastructure. You'll collaborate with design, brand, marketing, and content teams to deliver seamless, performant experiences across web and mobile. You'll develop backend logic and APIs, manage data flows, and implement systems that integrate with third-party platforms.

You'll optimize website performance by applying best practices in front-end development, including lazy loading, and efficient asset management. You'll set up and manage infrastructure using tools like Vercel, AWS, Cloudfront, Terraform, and CI/CD pipelines (e.g., CircleCI). You'll implement and maintain web analytics, and support A/B testing for data-driven decisions.

You'll stay current with emerging technologies and trends to continually improve our development processes and user experience. You'll be comfortable writing backend software. We look for engineers to be able to unblock themselves end to end.

You'll build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

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You will work on interdisciplinary challenges, collaborate across teams, and deploy critical software in real-world environments.

Key responsibilities include:

Developing mission-critical software for networking, sensor integration, and autonomy across robotic platforms

Working with various sensors (e.g., cameras, LiDAR, IMUs) to enable perception, localization, and navigation

Designing and optimizing distributed communication networks and message-passing frameworks for multi-robot coordination

Collaborating with hardware, systems, and manufacturing teams to seamlessly integrate software into physical systems

Traveling up to 25% to test, debug, and deploy systems in operational environments

Contribution to the entire software lifecycle, including prototyping, implementation, testing, and deployment

Enhancing system efficiency, such as improving latency, battery consumption, and resource utilization

Analyzing and resolving issues in deployed systems, ensuring reliability and operational success

Required qualifications include:

Bachelor's or Master's degree in Robotics, Computer Science, Software Engineering, Mathematics, or Physics

2+ years of hands-on experience developing production-grade software in C++ and/or Rust

Experience with distributed communication networks, protocols, and message standards

Proven ability to work with and integrate sensors (e.g., LiDAR, cameras, IMUs) into robotics systems

Ability to navigate and contribute to complex systems and established codebases

Passion for building software that directly influences mission-critical outcomes

Willingness to travel up to 25%

Preferred qualifications include:

Experience with motion planning, perception, localization, and multi-agent coordination

Proficiency in designing Software-in-the-Loop (SIL) simulation environments

Experience working with embedded systems and physical devices

Familiarity with metrics and optimization techniques for robotics systems

Knowledge of AI/ML applications in robotics

Active or prior U.S. Secret clearance is a plus

The salary range for this role is $191,000-$253,000 USD.

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In this pivotal leadership role, you will define and implement the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning, and other quantitative methods to optimize Reddit's Ads marketplace.

As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team.

Key responsibilities include:

• Defining the future of Ads Data Science and owning the design and long-term evolution of our core Ads Data Science solutions and infrastructure
• Identifying fundamental gaps and opportunities in our current systems and leading the strategic design and scientific roadmap for new solutions
• Taking end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks
• Establishing scientific standards and defining best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation

Requirements include:

• Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale
• Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline
• Advanced proficiency in statistical programming (Python or R) and SQL
• Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques
• Strong understanding of experimental design, causal inference, or A/B testing methodologies

Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health & coaching benefits, flexible vacation & paid volunteer time off, and generous paid parental leave.

The base salary range for this position is $268,000-$365,100 USD.

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Key responsibilities include:

• Leading the design, implementation, benchmarking, and maintenance of core compute kernels optimized for various hardware backends (GPU, accelerators)
• Driving the performance roadmap for kernel-level improvements: vectorization, tensorization, tiling, fusion, mixed precision, sparsity, quantization, memory reuse, scheduling, auto-tuning, etc.
• Integrating kernel optimizations with higher-level ML systems
• Building and maintaining profiling, instrumentation, and verification tooling to detect correctness, performance regressions, numerical issues, and hardware utilization gaps
• Leading performance investigations and root-cause analysis on inference bottlenecks, e.g. memory bandwidth, cache contention, kernel launch overhead, tensor fragmentation
• Establishing coding patterns, abstractions, and frameworks to modularize kernels for reuse, cross-backend portability, and maintainability
• Influencing system architecture decisions to make kernel improvements more effective (e.g. memory layout, dataflow scheduling, kernel fusion boundaries)
• Mentoring and guiding other engineers working on lower-level performance, providing code reviews, and helping set best practices
• Collaborating with infrastructure, tooling, and ML teams to roll out kernel-level optimizations into production, and monitoring their impact

Requirements include:

• BS/MS/PhD in Computer Science, or a related field
• Deep hands-on experience writing and tuning compute kernels (CUDA, Triton, OpenCL, LLVM IR, assembly or similar sort) for ML workloads
• Strong knowledge of GPU/accelerator architecture: warp structure, memory hierarchy (global, shared, register, L1/L2 caches), tensor cores, scheduling, SM occupancy, etc.
• Experience with advanced optimization techniques: tiling, blocking, software pipelining, vectorization, fusion, loop transformations, auto-tuning
• Familiarity with ML-specific kernel libraries (cuBLAS, cuDNN, CUTLASS, oneDNN, etc.) or open kernels
• Strong debugging and profiling skills (Nsight, NVProf, perf, vtune, custom instrumentation)
• Experience reasoning about numerical stability, mixed precision, quantization, and error propagation
• Experience in integrating optimized kernels into real-world ML inference systems; exposure to distributed inference pipelines, memory management, and runtime systems
• Experience building high-performance products leveraging GPU acceleration
• Excellent communication and leadership skills , able to drive design discussions, mentor colleagues, and make trade-offs visible
• A track record of shipping performance-critical, high-quality production software
• Bonus: published in systems/ML performance venues (e.g. MLSys, ASPLOS, ISCA, PPoPP), experience with custom accelerators or FPGA, experience with sparsity or model compression techniques

The pay range for this role is $190,900-$232,800 USD per year, depending on location and experience.

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Your primary focus will be on building and managing large-scale platforms to improve the availability of our Payments platform for internal and external stakeholders. You will collaborate closely with other Payments engineering teams and Infra teams to ensure services are instrumented, scalable, and resilient to support our growing business.

Key responsibilities include:

• Designing, implementing, and maintaining systems and tools at a platform level that support flow-level observability, payments reliability, and scalability.
• Identifying and driving improvements to increase the Payments Availability, Observability, and Resiliency of Airbnb Payments.
• Developing observability standards/framework for new product readiness to ensure service reliability in SOA and distributed systems.
• Building domain expertise to achieve scalability by understanding the nuances of Payments across processing, compliance, and infra.
• Driving large-scale migration and adoption projects on Observability & Reliability by cross-collaborating with various Payments teams.
• Leading initiatives that promote a culture of reliability throughout the organization by improving incident management platforms and instrumentation.

Requirements:

• 7+ years of experience in back-end software development focusing on large-scale distributed systems.
• BE/B.Tech in Computer Science or a related technical field.
• Strong software development skills in one or more languages such as Java, Python, Kotlin, Scala, or Ruby on Rails.
• Experience in building intelligent AI agents and systems powered by Large Language Models is a plus.
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
• Familiarity with cloud platforms like AWS or Google Cloud Platform.
• Deep understanding of software development best practices, including version control, automated testing, CI/CD, and code reviews.
• Experience in incident management, monitoring, alerting, and root cause analysis.
• Effective leadership and communication skills to coordinate cross-functional teams during large-scale projects.
• Experience with initiatives across auto-scaling, self-healing mechanisms, chaos engineering, performance optimization techniques will be a plus.
• Previous experience in AI/ML will also be a plus.

If you are a strong problem solver and have worked in a team that is on-call for production systems before, we encourage you to apply.

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Responsibilities:

• Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments
• Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities
• Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI
• Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows
• Collaborate to translate experimental requirements into production-ready infrastructure
• Develop large scale data pipelines to handle advanced language model training requirements
• Optimize large scale training and inference pipelines for stable and efficient reinforcement learning

You may be a good fit if you:

• Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems
• Are a strong communicator and enjoy working collaboratively
• Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads
• Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale
• Have proven track record of building large-scale data pipelines and distributed storage systems
• Excel at diagnosing and resolving complex infrastructure challenges in production environments
• Can work effectively across the full ML stack from data pipelines to performance optimization
• Have experience collaborating with other researchers to scale experimental ideas
• Thrive in fast-paced environments and can rapidly iterate from experimentation to production

Strong candidates may also have:

• Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.)
• Background in building infrastructure for AI research labs or large-scale ML organizations
• Knowledge of GPU/TPU architectures and language model inference optimization
• Experience with cloud platforms (AWS, GCP) at enterprise scale
• Familiarity with VM and container orchestration
• Experience with workflow orchestration tools and experiment management systems
• History working with large scale reinforcement learning
• Comfort with large scale data pipelines (Beam, Spark, Dask, …)

The annual compensation range for this role is $350,000-$850,000 USD.

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As a senior member of our engineering team, you will play a key role in guiding technical direction, mentoring other developers, and delivering polished, performant gameplay that reaches players around the world.

Key responsibilities include:

• Implementing game mechanics and AI behaviors for our compelling 6-person multiplayer experiences
• Providing mentorship to other programmers
• Consistently pushing the limits of the Unity game engine to maximize the quality of each VR experience
• Keeping up with the latest features and optimization techniques and deciding if, when, and how to incorporate them
• Finding or developing tools and processes to make the development process more efficient
• Actively contributing to creative maintainable code that can be reused across experiences
• Owning key areas of the experience from a technical perspective
• Experimenting with game design and using rapid prototyping to develop features, all while ensuring that strong architectural and algorithmic decisions are made
• Working closely with art and design to create and iterate on gameplay features
• Fixing bugs in existing gameplay systems as required
• Contributing ideas toward all aspects of the VR experience's production and development processes

Requirements include:

• Exceptional C# programming skills with at least 5 years of software programming experience
• Significant experience in programming with the Unity engine
• A proven track record, having shipped at least 2 commercial games (PC or Console preferred) and being involved in each step of the development process from concept stage all the way through to the final release
• A strong understanding of current gaming trends and popular games releases
• Experience with VR game development is a plus

What we're offering includes:

• Significant equity grants in a rapidly growing organization
• Private medical benefits
• Hybrid work model (3 days a week onsite)

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Your primary focus will be on supporting customers in enjoing Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge. Additionally, you will be knowledgeable in multiple domains of design implementation and understand codependency of flow and methodology such as Macro & Standard Cell Placement, Clock Tree Synthesis, Routing, Advanced Timing Optimization techniques.

You will also articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).

As a member of our high-performing Customer Application Services team, you will collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.

Responsibilities:

• Support customers in enjoying Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge.
• Articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).
• Collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.
• Manage multiple customer activities concurrently, and work with Account Managers and AC management to set their priorities.
• Sales support roles include product demonstrations, evaluations, and competitive benchmarking. Customer support roles include training, problem resolution, and technical account management.

Key Qualifications:

• Design Implementation experience should include ASIC design using industry-standard tools (Placement, Optimization, CTS, Routing)
• RTL to GDSII full flow experience or knowledge is preferable
• Strong interest and understanding of Advanced Node & Design methodologies are required.
• In-depth Synopsys Back end tool (Logical and Physical Synthesis, AI methodologies, Timing Closure techniques, Macro Placement, Routing at advanced Node, Static Timing Analysis, including noise analysis) experience and knowledge are required.
• Knowledge of several Clock Tree Synthesis methodologies like H-Tree, MS-CTS is preferred
• Excellent verbal and written presentation/communication skills are mandatory.
• Customer sensitivity, the ability to multiplex many issues & set priorities, and the desire to help customers exploit new technologies are essential for success in the position.

Preferred Experience:

• BSEE or equivalent, required with 7+ years of experience, or MSEE, or equivalent with 5+ years of experience.
• Tool knowledge expected: Back end P&R tools (Fusion Compiler, ICC2, Innovus)
• Tool knowledge (preferred): front end Synthesis tools (Fusion Compiler, Design Compiler, Genus),
• Tool knowledge (preferred): STA (Primetime, Tempus)

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As a Senior Optical Applications Engineer at Synopsys, you will be a key member of our team responsible for providing technical support to customers, delivering customer training sessions, and collaborating with internal product development teams.

Your primary responsibilities will include:

• Applying advanced optical engineering expertise to provide pre-sale and technical support to customers, ensuring timely resolution of complex optical simulation challenges.
• Owning customer technical problems and proactively engaging with OEMs and Tier-1 suppliers to deliver comprehensive optical simulation solutions for automotive lighting, imaging optics, and sensor systems.
• Working closely with sales teams by interacting with customers to understand their challenges, formulating simulation workflows, and clearly articulating the value proposition of Synopsys optical simulation solutions.
• Supporting technical pre-sales activities including product demonstrations, proof-of-concept studies, and technical evaluations related to optical simulation workflows.
• Delivering customer training sessions, workshops, and professional services engagements related to optical simulation, automotive lighting design, and virtual prototyping.

In this role, you will have the opportunity to work with cutting-edge technology and collaborate with a talented team of optical engineering experts.

Key Requirements:

• MS in Physics, Optics, Photonics, Optomechanical Engineering, Optoelectronics, or related field (Bachelor’s in mechanical engineering or related discipline also acceptable).
• 3–8 years of professional experience in optical engineering, optical simulation, or automotive lighting development.
• Hands-on experience with optical simulation tools such as Speos, Zemax OpticStudio, or Lumerical.
• Strong understanding of non-imaging optics, illumination engineering, and imaging optics principles.
• Experience in automotive lighting system design, including headlamps, tail lamps, DRL, or signal lighting.
• Ability to interpret optical performance metrics such as luminance, illuminance, beam patterns, and lighting regulations.
• Experience with optical tolerancing, stray light analysis, and optical system optimization techniques.
• Strong written and verbal communication skills in English; ability to conduct presentations, demos, and technical workshops.
• Ability to manage multiple technical projects and collaborate with cross-functional teams across geographies.
• Ability to travel up to 30% of the time for customer meetings and technical engagements.

If you are a motivated and experienced optical engineer looking for a challenging role, please apply now!

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You will design, develop, and optimize high-performance software applications using C/C++. You will build and maintain large-scale software systems, focusing on scalability, reliability, and performance. You will collaborate with cross-functional teams to gather requirements and prioritize project deliverables.

You will participate in code reviews, promoting best practices, and contributing to codebase improvements. You will troubleshoot and debug complex software issues, ensuring robust and efficient solutions. You will stay current with industry trends and emerging technologies, integrating them into development efforts.

As a member of the team, you will drive the development of innovative software applications that empower next-generation chip design and intelligent systems. You will ensure the scalability and reliability of mission-critical software used by leading semiconductor companies worldwide.

You will elevate product quality and performance through rigorous code reviews and technical mentorship. You will enhance Synopsys' competitive edge by integrating cutting-edge technologies and methodologies into our products ΔΗΜ

The ideal candidate will have expert-level proficiency in C/C++ programming, with a strong grasp of object-oriented design and optimization techniques. You will have 5 to 10 years of experience in similar role in EDA domain, preferably in developing Simulation tools.

You will have a solid foundation in computer science including data structures, algorithms, and software design patterns. You will have experience developing and maintaining large-scale, high-performance software systems.

You will be able to troubleshoot, debug, and resolve complex software issues efficiently. Familiarity with compiler design and implementation is highly desirable. Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch) is a plus.

You will be an analytical thinker with strong problem-solving skills. You will be an effective communicator and collaborator, comfortable working across diverse teams. You will be detail-oriented and committed to delivering high-quality software solutions.

You will be a proactive learner, eager to stay ahead of industry trends and technologies. You will be adaptable and resilient, thriving in fast-paced and evolving environments. You will be a mentor and team player, willing to share knowledge and support peers.

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We are seeking a proactive, results-driven leader with a deep technical background in physical design and processor implementation. Your expertise is grounded in architecting high-performance, energy-efficient silicon solutions, and you thrive in fast-paced, collaborative environments. You possess a strong sense of ownership and are comfortable navigating ambiguity to deliver innovative solutions to complex engineering challenges.

As an Applications Engineering Architect (PPA), you will be responsible for architecting and executing the physical design of high-performance, energy-efficient processors and processor-based subsystems, targeting aggressive power and performance goals for diverse end-user applications. You will develop and refine advanced EDA tools and design methodologies to support state-of-the-art processor implementations.

Key Responsibilities:

• Architecting and executing the physical design of high-performance, energy-efficient processors and processor-based subsystems
• Developing and refining advanced EDA tools and design methodologies
• Collaborating closely with key Synopsys customers to guide their development of processor-based platforms in advanced silicon technologies
• Partnering with Synopsys R&D and marketing teams to influence and define future product roadmaps and features
• Working in synergy with leading IP partners to ensure seamless integration of EDA tools, methodologies, and IP

Requirements:

• Proven expertise in physical design and implementation of high-performance processors, SoCs, or processor-based subsystems
• In-depth experience with advanced EDA tools, flows, and methodologies for digital implementation
• Strong knowledge of silicon technologies at advanced nodes and associated design challenges
• Hands-on experience integrating IP and collaborating with IP vendors for seamless tool and methodology interoperability
• Track record of working directly with customers, understanding their requirements, and delivering tailored solutions

We offer a comprehensive range of health, wellness, and financial benefits, including medical, dental, and vision insurance, 401(k) matching, and paid time off. We also provide opportunities for professional growth and development, including training and education programs, mentorship, and career advancement opportunities.

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Constructor is a U.S. based company that has been in the market since 2019, building a next-generation platform for search and discovery in ecommerce. Its search engine is entirely invented in-house, utilizing transformers and generative LLMs, and powers over 1 billion queries every day across 150 languages and roughly 100 countries.

Responsibilities

• Architect and build real-time agentic workflows to handle complex, multi-step user tasks and open-ended queries, providing users with accurate and contextually relevant answers and product suggestions
• Own the end-to-end data lifecycle for AI workflows, including vector database ingestion and indexing
• Design metrics to evaluate the relevance and performance of query results, ensuring alignment with business goals and user expectations
• Generate and rapidly prototype novel product hypotheses that leverage LLMs, RAG, and agentic systems
• Collaborate closely with Product, Design, Analytics, and other engineering teams to translate AI capabilities into tangible, high-quality product features
• Improve the speed, quality, and efficiency of our AI systems and engineering processes
• Take ownership of systems and designs from conception through to deployment and maintenance

Qualifications

• 4+ years of industry experience in related fields, including search, information retrieval, recommendation systems, applied machine learning, and NLP
• Excellent skills in delivering and communicating business value
• Proficient in Python, SQL, and the big data stack for end-to-end ML product development, with experience across the entire pipeline in typical recommendation systems or LLM-based solutions
• Strong grasp of Information Retrieval (IR) techniques (e.g., dense retrieval, re-ranking, chunking strategies)
• Direct experience with Retrieval-Augmented Generation (RAG); experience building autonomous agents is a strong plus
• Nice to have: experience with automatic prompt optimization techniques (e.g., DSPy)
• Solid understanding of ML evaluation methodologies and key IR metrics
• Passion for shipping high-quality products and a self-motivated drive to take ownership of tasks

Tech Stack

• Core: Python, FastAPI, asyncio, Airflow, Luigi, PySpark, Docker, LangGraph
• Data Stores: Vector Databases, DynamoDB, AWS S3, AWS RDS
• Cloud & MLOps: AWS, Databricks, Ray

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• This position has a base salary range between $80k and $120k USD.

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Responsibilities

• You will be responsible for the ownership of UI asset implementation, from preparation to integration.
• You will work within Unreal Engine 5 to import, set up, and maintain UI assets, ensuring consistent quality and performance.
• You will collaborate with engineering and production teams to troubleshoot visual issues, refine layouts, and support UI functionality.
• You will maintain asset libraries, naming conventions, and documentation to support scalable workflows.
• You will ensure UI assets meet technical constraints for console platforms and conform to the overall art direction.

Requirements

• Experience working in Unreal Engine 5; understanding of UMG and Blueprint workflows.
• Proficient in Unreal Engine UI implementation, including menus, HUDs, and interactive interfaces.
• Ability to work within existing style guidelines while contributing creative solutions.
• Excellent communication and organizational skills, with a detail-oriented and collaborative mindset.

Preferred

• Skilled in Figma for interface design, component creation, and design system management
• Experience shipping a console or PC game.
• Familiarity with UI optimization techniques and best practices for console hardware.
• Basic understanding of UX principles and player-centric design.
• Interest in Racing
• Minimum of 3 years of similar experience

Benefits & Compensation:

• Health, dental, vision, and life insurance
• Voluntary life insurance, pet insurance, pet discount plan, and legal insurance
• 401(k) and discretionary employer match
• Paid time off (vacation, personal, sick, and holidays)

In addition to competitive pay and benefits, we offer the opportunity to be part of a talented team building high-quality, immersive games for players worldwide.

Location, Working Conditions, & Eligibility:

• This position is a full-time remote within the United States.
• Candidates must be legally authorized to work in the United States at the time of application.
• We are unable to sponsor visas or work permits for this role.

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San Francisco

Employment Type

Full time

Department

Research

Compensation

• $360K – $440K • 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 Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture, datasets and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect. Recent examples of artifacts with major contributions from our team include GPT4-Turbo, GPT-4o and o1-mini.

About the Role

As a member of the architecture team, you will push the frontier of architecture development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities.

Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.

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:

• Design, prototype and scale up new architectures to improve model intelligence
• Execute and analyze experiments autonomously and collaboratively
• Study, debug, and optimize both model performance and computational performance
• Contribute to training and inference infrastructure

You might thrive in this role if you:

• Have experience landing contributions to major LLM training runs
• Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion
• Are motivated by safely deploying LLMs in the real world
• Are well-versed in the state of the art transformer modifications for efficiency

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.

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What you'll do

Develop APIs for AI inference that will be used by both internal and external customers.

• Develop APIs for AI inference that will be used by both internal and external customers
• Benchmark and address bottlenecks throughout our inference stack
• Improve the reliability and observability of our systems and respond to system outages
• Explore novel research and implement LLM inference optimizations

What you need

• Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
• Familiarity with common LLM architectures and inference optimization techniques (e.g. continuous batching, quantization, etc.)
• Understanding of GPU architectures or experience with GPU kernel programming using CUDA

Why this matters

As an AI Inference engineer, you will play a critical role in the development and deployment of our machine learning models. Your work will have a direct impact on the performance and reliability of our systems, and will help us to continue to innovate and improve our products.

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What you'll do

Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

• Leading digital design and verification activities for advanced SERDES products, including Backplane Ethernet, PCIe, SATA, and USB 2/3.
• Analyzing and interpreting digital and analog specifications, ensuring seamless integration in mixed-signal environments.

What you need

• MSEE (preferred) or equivalent with a minimum of 5 years' experience in digital design and verification.
• Proven proficiency in Verilog or VHDL for ASIC development.
• Experience with code quality metrics and coverage-driven verification methodologies.
• In-depth knowledge of high-speed digital and mixed-signal design, asynchronous clock crossings, and DFT methodologies.
• Strong understanding of CDC, synthesis, and power optimization techniques.
• Hands-on experience with simulation tools and collaborative debugging in verification environments.
• Ability to develop system-level specifications for complex digital and analog systems.

What you'll be doing:

• Leading digital design and verification activities for advanced SERDES products, including Backplane Ethernet, PCIe, SATA, and USB 2/3.
• Analyzing and interpreting digital and analog specifications, ensuring seamless integration in mixed-signal environments.
• Driving the creation, execution, and tracking of comprehensive test plans, including functional, assertion, and code coverage metrics.
• Overseeing design flows for clock domain crossing (CDC), synthesis, design-for-test (DFT), and low-power methodologies.
• Collaborating closely with verification teams to debug issues, analyze failure cases, and run gate-level simulations.
• Coordinating with cross-functional teams and providing technical leadership throughout the product lifecycle, from specification development to performance testing of test chips.
• Mentoring and developing junior engineers, fostering a culture of continuous learning and innovation.

The Impact You Will Have:

• Accelerate the delivery of industry-leading mixed-signal ASIC solutions, enabling next-generation connectivity standards.
• Enhance the quality and reliability of high-speed SERDES products through rigorous design and verification practices.
• Drive process improvements that elevate team productivity and product performance.
• Champion best practices in digital and mixed-signal design, setting new benchmarks for quality and efficiency.
• Foster a collaborative and innovative team environment, empowering engineers to reach their full potential.
• Strengthen Synopsys' reputation as a global leader in semiconductor technology through successful project execution and customer satisfaction.

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What you'll do

Your Responsibilities:

• Stay up to date with research in the field of Machine Learning.
• Propose and develop novel Machine Learning-based solutions to solve problems in character animation, agent behavior, physics, and content generation.
• Design and implement Machine Learning solutions that consider game development requirements.

What you need

• Expert-level proficiency in Python software development:
• Advanced features like generators, decorators, and context managers.
• Experience writing efficient, maintainable, and scalable Python code.
• Knowledge of linear algebra, statistics, and mathematical optimization techniques.
• Knowledge of Machine Learning: At least 1-2 years of experience in the field with a demonstrated practical approach to problem solving.

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