NVIDIA
Senior Developer Relations Manager - Omniverse
$184K–$356K
US, CA, Santa Clara · Manager · Full-time · Posted Aug 31, 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 by guiding partner engineering teams through technical architecture, integrations, and enablement.
What you'll do
- Advise partners on architecture, code, and integration; co-design and implement technical solutions.
- Create reference architectures, code samples, integration guides, and workshops to support partner adoption.
- Represent partner needs to NVIDIA product and engineering teams and support launches with technical validation and demonstrations.
What they ask for
- At least 10 years of overall technology-industry experience, including at least 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 experience, plus experience in at least one of the listed software, simulation, AI/ML, or graphics domains.
- Technical depth in industrial software, robotics, or automation, with hands-on contributions to integrations or software libraries.
Nice to have
- Familiarity with NVIDIA libraries and models, such as CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, or Cosmos.
- Experience with cloud-native and container orchestration technologies, agentic architectures, AIOps, 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
Drive partner adoption of physical AI simulation libraries and AI models; work with AI/ML workflows, including ETL, data pipelines, synthetic data generation, and data preparation.
Model-written summary · the original posting is authoritative