NVIDIA
Senior Developer Relations Manager - Omniverse
$184K–$356K
US, CA, Santa Clara · Manager · Full-time · Posted Jan 9, 2026
- Experience
- 10+ years overall in the technology industry, including at least 5+ years of direct, hands-on software development or engineering experience.
- Education
- B.S. in Computer Science, Engineering, or a related technical field (or equivalent experience).
About the job
Drives adoption of NVIDIA Omniverse, physical AI simulation libraries, and AI models across software partners by guiding technical integrations, architecture, and engineering collaboration.
What you'll do
- Advise partner engineering teams on architecture, code, and integration; co-design and implement technical solutions.
- Create technical enablement resources, including code samples, reference architectures, guides, and workshops.
- Represent partner feedback to NVIDIA teams and support product launches and technical go-to-market activities.
What they ask for
- At least 10 years of overall technology-industry experience, including 5 years of hands-on software development or engineering.
- B.S. in Computer Science, Engineering, or a related technical field (or equivalent experience).
- Full software development lifecycle involvement, from requirements through post-release support.
- Experience in at least one listed domain, including real-time 3D visualization and simulation, enterprise-scale ISV software, full-stack development, AI/ML workflows, or graphics and GPU-accelerated programming.
Nice to have
- Familiarity or 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; familiarity with AIOps, cloud-native technologies, agentic architectures, or observability tools.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Omniverse, APIs, USD, NIMs, Blueprints, CUDA-X, OpenUSD, Kubernetes
AI focus
Drives partner adoption of physical AI simulation libraries and AI models; supports AI-enabled solutions and AI/ML workflows, including ETL, data pipelines, synthetic data generation, and data preparation.
Model-written summary · the original posting is authoritative