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What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Proven success growing developer ecosystems through technical enablement.
You will also be eligible for equity and .
These jobs might be a good fit

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What you'll be doing:
Designing and building user-centric solutions using React, JavaScript, and associated platforms and tools.
Building wireframes that clearly define page layout, structure, and user flow to ensure transparency and support user-centered design principles.
Integrating front-end applications with Python-based and other back-end services for seamless functionality.
Collaborating with multi-functional teams to develop, refine, and launch new product features.
Staying ahead of evolving technologies, tools, and methods in front-end development to drive continuous improvement.
What we need to see:
BS, MS, or equivalent experience in Computer Science, with 5+ years of front-end development experience.
Expert-level proficiency in React, JavaScript (ES6+), HTML5, and CSS3.
Strong design sense with experience building visually appealing, responsive layouts.
Experience integrating APIs and working with Python-based back-end systems.
Familiarity with version control (Git), CI/CD pipelines, and agile development practices.
Superb communication and collaboration abilities.
Ways to Standout from the crowd:
Experience leading front-end architecture or developing systems across large-scale projects.
Advanced skills with TypeScript, Next.js, or similar frameworks.
Experience using AI tools (e.g., Cursor, Copilot) in automation development.
Hands-on experience with hardware validation and data analysis, contributing to higher quality and more reliable solutions.
You will also be eligible for equity and .
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Working directly under the mentorship of the lead engineer, this role requires deep hands-on expertise across modern web frontend, scalable backend services, and cloud deployment practices. The Senior Engineer will be responsible for implementing robust features, ensuring code quality, and contributing to the operational stability of the platform.
What you will be doing:
Frontend UI Development Mastery: Lead the hands-on development of the platform's user interface. This includes architecting state management, optimizing rendering performance, and building reusable component libraries to support complex scenario configuration and high-frequency data visualization.
Feature Development: Build, develop, and deliver high-quality, full-stack features from concept through deployment, ensuring alignment with the architectural vision established by the Tech Lead.
Code Implementation: Write clean, performant, and maintainable production code for both frontend interfaces (using modern frameworks) and distributed backend services (using Python/Go).
System Integration: Implement and manage integrations with core APIs (gRPC and REST) and data infrastructure (SQL, AWS S3, Kratos tables) to support high-frequency data flows.
Help maintain and improve CI/CD pipelines in GitLab and Jenkins. Support the deployment and upkeep of containerized services managed by Docker and Kubernetes/Helm.
Code Quality: Actively participate in the code review process, upholding and enforcing the high coding and performance standards set by the Tech Lead.
Technical Problem Solving: Identify, debug, and resolve complex technical issues, performance bottlenecks, and operational incidents in production environments.
Collaboration: Work closely with the Tech Lead and multi-functional teams (ML Engineers, Product Managers) to accurately estimate, plan, and implement project work.
What we need to see:
Master's degree (M.S.), or a Bachelor's degree (B.S.) in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field (or equivalent experience).
Minimum 10+ years of hands-on experience developing and deploying scalable full-stack web services in a production cloud environment.
Frontend Expert: Deep expertise and proven track record in a modern frontend framework (e.g., React, Vue, Angular), focusing on building complex, scalable, and highly performant data-intensive UIs.
Mastery of TypeScript and JavaScript for robust client-side development and state management architecture.
Proven proficiency in developing backend systems that handle high volume and growth using Python and/or Go.
Hands-on experience implementing and consuming APIs built with Protocol Buffers, involving both service-to-service communication and HTTP-based endpoints.
Solid practical experience with containerization using Docker and exposure to orchestration tools like Kubernetes and Helm.
Experience with cloud services, particularly AWS S3, and familiarity with SQL for data management.
Demonstrated knowledge of CI/CD practices along with experience using source control platforms like GitLab.
Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints.
Ways to stand out from the crowd:
Familiarity with data querying platforms such as Apache Druid, ClickHouse, or Elasticsearch.
Experience configuring and deploying containerized applications that leverage GPUs (e.g., NVIDIA Container Toolkit).
Exposure to deploying large language models or other AI models as service endpoints.
Experience working with large-scale data processing tools like Apache Spark.
Basic understanding of authentication services and Linux environments.
You will also be eligible for equity and .
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This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$135,800—$203,600 USDThese jobs might be a good fit

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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$135,800—$203,600 USDThese jobs might be a good fit

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What you’ll be doing:
Identify, cultivate, and manage relationships within the XR ecosystem to increase adoption of NVIDIA XR and AI technology.
Deeply understand XR roadmap and lead technical engagements and discussions.
Resolve and distill feedback from partners into actionable strategies for product management and engineering.
Develop and implement strategies to drive business growth in the XR industry.
Identify and collaborate on customer success stories, webinars, blogs, events and marketing opportunities.
What we need to see:
Bachelors degree or equivalent experience.
12+ years of related work experience.
Expert ability to manage a diverse partner portfolio, strategically prioritizing relationships and defining joint initiatives to ensure resources are focused on the most impactful opportunities.
Keen understanding of XR and AI hardware and software technologies and understanding of both the consumer and enterprise markets, and their potential business applications.
Passion for GPU technologies, including VR, AR, and AI, and experience with SDKs and other developer tools.
Demonstrated "hands-on" ability to dive deep into sophisticated software systems to understand their architecture and core functionality, and a talent for translating those technical concepts clearly for non-technical stakeholders.
Proven success in a highly cross-functional role, with a strong ability to collaborate and communicate effectively across organizational boundaries with teams like Engineering, Product, Marketing, and Sales.
A passion for commercializing innovation, with experience driving new technologies from initial concept to market launch in either a fast-paced startup or a large enterprise environment.
Ways to stand out from the Crowd:
A track record of helping partners embrace new technology, from beachhead use cases through early scaling.
Strong visual product storytelling skills for presenting sophisticated ideas clearly.
Comfortable crafting simple XR mockups or prototype concepts to communicate ideas effectively with developers.
Direct experience with, or an understanding of, robotics, automation, or physical-AI ecosystems.
Comfortable with 10% travel time for events, press tours, and partner meetings.
You will also be eligible for equity and .
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What you'll be doing:
Developing a highly optimized inference framework
Running on the world’s largest supercomputers and data centers.
The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.
What we need to see:
B.Sc. or equivalent experience in Computer Science or Software Engineering
6+ years of experience in modern C++ / C / Rust development
3 years of experience in Linux environment and familiarity with development tools
Deep knowledge of the TCP/IP network stack
Understanding of computer architecture and operating systems concepts
Ways to stand out from the crowd:
Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)
Experience in programming CUDA kernels is an advantage
Familiarity with ML frameworks and LLMs
Background in parallel programming / high-performance computing / RDMA technology
You will also be eligible for equity and .
These jobs might be a good fit

Share
What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Proven success growing developer ecosystems through technical enablement.
You will also be eligible for equity and .
These jobs might be a good fit