NVIDIA
Developer Relations Manager - Omniverse
$184K–$356K
US, CA, Santa Clara +1 · Manager · Full-time · Posted Jun 25, 2026
- Location
- US, CA, Santa Clara
US, CA, Remote - Experience
- 8+ years overall, including at least 5+ years of direct, hands-on technical experience.
- Education
- B.S. in Computer Science, Engineering, or a related technical field (or equivalent experience).
About the job
Drives adoption of NVIDIA Omniverse and physical AI simulation libraries and models across software partners by guiding technical architecture, integrations, enablement, and collaboration with NVIDIA teams.
What you'll do
- Advise partner engineering teams on architecture, code, and integration for Omniverse and AI-enabled solutions; co-design and implement technical solutions.
- Create reference architectures, sample code, integration guides, workshops, and other technical enablement resources.
- Represent partner needs to NVIDIA product and engineering teams and support product launches and technical go-to-market activities.
What they ask for
- 8+ years of overall professional experience, including at least 5+ years of hands-on software development or engineering experience.
- B.S. in Computer Science, Engineering, or a related technical field (or equivalent experience).
- Hands-on software development lifecycle experience, plus experience in at least one listed domain such as real-time 3D visualization, simulation, or AI/ML workflows.
- Technical depth in industrial software, robotics, and/or automation, with hands-on contributions to product integrations or software libraries.
Nice to have
- Experience with NVIDIA libraries and models such as CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, or Cosmos.
- Experience integrating technology libraries into industrial, robotics, or automation software; AIOps, cloud-native, orchestration, agentic architectures, or observability experience.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
Omniverse, USD, NIMs, Blueprints, CUDA-X, OpenUSD, RTX, Isaac
AI focus
Drives partner adoption of physical AI simulation libraries and AI models, and supports AI-enabled solutions.
Model-written summary · the original posting is authoritative