Developer Relations Manager - Omniverse

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +1 · Remote

NVIDIA is seeking a highly technical Senior Developer Relations Manager to drive adoption of Omniverse and physical AI simulation libraries and AI models across its software partner ecosystem. The role involves serving as a technical advisor, developing expertise in Omniverse and related technologies, co-designing technical solutions with partners, and creating enablement resources. The candidate will engage with partner organizations, represent partner needs internally, and support product launches. A strong technical background in software development, visualization, simulation, or AI/ML workflows is required.

What you'd actually do

  1. Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.
  2. Develop and maintain deep technical expertise in NVIDIA Omniverse and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.
  3. Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, achievements, and delivery plans. Supply sample code, architecture diagrams, and direct engineering support to overcome technical challenges.
  4. Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use of Omniverse.
  5. Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for guidelines, and drive alignment with NVIDIA technical solutions.

Skills

Required

  • 8+ years of overall professional experience in the technology industry
  • 5+ years of direct, hands-on technical experience in software development or engineering
  • B.S. in Computer Science, Engineering, or a related technical field (or equivalent experience)
  • Proven hands-on involvement throughout the full software development lifecycle
  • Experience in one or more of the following domains: real-time 3D visualization and simulation, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (including ETL, data pipeline development, synthetic data generation, and data preparation), or graphics and GPU accelerated programming
  • Significant technical depth in industrial software, robotics and/or automation technologies (e.e., CAE, CAD, PLM, ERP, MES, SCADA, EDA), with direct hands-on contributions to product integrations or software libraries
  • Experience leading technical collaborations with engineering and product teams
  • Clear communication skills for conveying technical concepts, architecture, and code to audiences ranging from engineers to executives
  • Validated ability to structure and complete sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external customers

Nice to have

  • Experience with NVIDIA libraries and models (CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos)
  • Proven experience developing or integrating technology libraries into industrial, robotics or automation software
  • AIOps, cloud-native and container orchestration technologies (e.g., Kubernetes, Docker, Kubeflow), along with agentic architectures (e.g. NCP, LangGraph) and observability tools for monitoring sophisticated, autonomous systems
  • Track record of influencing sophisticated product decisions through positive relationships while also balancing software partner needs

What the JD emphasized

  • Proven hands-on involvement throughout the full software development lifecycle - including requirements definition, develop, implementation, testing, integration, quality assurance, and post-release support.
  • Experience (as a software engineer or technical product manager) in one or more of the following domains: real-time 3D visualization and simulation, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (including ETL, data pipeline development, synthetic data generation, and data preparation), or graphics and GPU accelerated programming.
  • Significant technical depth in industrial software, robotics and/or automation technologies (e.e., CAE, CAD, PLM, ERP, MES, SCADA, EDA), with direct hands-on contributions to product integrations or software libraries.
  • Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops