Drimva

NVIDIA

Developer Relations Manager Robotics

$152K–$288K

US, CA, Santa Clara +2 · Manager · Full-time · Posted Oct 22, 2026

Location
US, CA, Santa Clara
US, NY, Remote
US, NY, New York
Experience
5+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Education
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.

About the job

Build technical relationships with robotics startups, advise on NVIDIA robotics platforms, and help partners develop and commercialize AI-enabled robotics applications.

What you'll do

  • Advise partner engineering teams on architecture, integration, and code; co-design and deliver robotics solutions.
  • Create technical enablement resources and support workshops, product launches, demos, and go-to-market activities.
  • Support synthetic data strategies, track robotics trends, and relay partner feedback to NVIDIA product and engineering teams.

What they ask for

  • 5+ years in the technology industry, including 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 through testing, integration, and support.
  • Technical background in at least one listed area: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.

Nice to have

  • Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
  • Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.

Pay

152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)

Tools

Isaac Sim, Isaac Lab, Gazebo, MuJoCo, Robot Studio, NVIDIA Jetson, Jetpack SDK, CUDA-X

AI focus

Supports AI-enabled robotics application development, simulation and robot learning, synthetic data generation, and adoption of NVIDIA Physical AI software.

Model-written summary · the original posting is authoritative

First seen Oct 23, 2026 · Last verified Nov 4, 2026 (UTC)