NVIDIA
Senior Developer Relations Manager – GR00T End-to-End Workflow
$184K–$356K
US, CA, Santa Clara · Manager · Full-time · Posted Aug 10, 2026
- Experience
- 8+ years of overall professional experience in robotics, autonomous vehicles, or equivalent fields.
- Education
- Master’s or PhD degree in Computer Science, Robotics, Engineering, or a related technical field — or equivalent experience.
About the job
Leads technical adoption of NVIDIA’s Isaac GR00T end-to-end robotics workflow, advising partners on integration and deployment and relaying partner needs to product and research teams.
What you'll do
- Advise partners and guide end-to-end GR00T adoption, especially model deployment on robots.
- Represent partner needs to NVIDIA’s Isaac, GEAR research, and Jetson teams; help shape roadmaps.
- Build platform expertise, accelerate partner workloads, and support product launches and event marketing with partner success stories.
What they ask for
- Technical background in at least two of: robot foundation models, imitation learning, reinforcement learning, robot simulation, synthetic data generation, or embedded/edge deployment.
- Hands-on experience with robot learning frameworks/tools and deploying models on embedded platforms such as Jetson or comparable.
- Strong communication skills for technical and executive audiences, and ability to structure and deliver complex, multi-quarter technical engagements.
Nice to have
- Real-world robotics deployment or direct experience post-training or deploying GR00T models; humanoid or dexterous-manipulation platform experience.
- Experience with NVIDIA tools and libraries, an established robotics or industrial automation network, or success growing developer ecosystems.
Pay
184,000 USD - 287,500 USD base salary; 224,000 USD - 356,500 USD base salary
Tools
Isaac GR00T, Isaac Lab, Isaac Sim, Isaac ROS, Newton, Isaac Teleop, Jetson Thor, LeRobot
AI focus
Supports adoption and deployment of robot foundation models, including GR00T, across data capture, model post-training, simulation evaluation, and real-time robot deployment.
Model-written summary · the original posting is authoritative