Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 Software Development @ 8 Docker @ 3 Kubernetes @ 3 ETL @ 4 Machine Learning @ 4 Communication @ 4 KubeFlow @ 3 API @ 4 QA @ 4 CUDA @ 3 GPU @ 4Details
NVIDIA is seeking a highly technical Senior Developer Relations Manager to drive adoption of Omniverse, physical AI simulation libraries, and AI models across our software partner ecosystem. Collaborations will span multiple vertical market segments. Successful candidates will be highly technical, able to move and adapt quickly to changing needs, guide architecture and implementation plans with product and engineering teams, and engage at all executive levels both inside NVIDIA and with partners.
Responsibilities
- Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI-enabled solutions.
- Develop and maintain deep technical expertise in NVIDIA Omniverse and related technologies (APIs, USD / OpenUSD, NIMs, Blueprints) through prototyping, technical integration, and creation of reference architectures.
- Co-design and implement technical solutions with partners — define objectives, architecture, deliverables, and delivery plans; provide sample code, architecture diagrams, and direct engineering support to overcome technical challenges.
- Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams' adoption and effective use of Omniverse.
- Engage with partner software organizations (engineering teams to technical leaders and decision makers) to understand goals, identify and resolve technical blockers, advocate for standard processes, and drive alignment with NVIDIA technical solutions.
- Represent and advocate for partner technical needs and feedback to NVIDIA internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
- Support product launches and technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring high-quality customer- and partner-facing materials.
Requirements
- Minimum of 10+ years of overall professional experience in the technology industry, including at least 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: requirements definition, design, implementation, testing, integration, QA, and post-release support.
- Experience (as a software engineer or technical product manager) in one or more domains: real-time 3D visualization and simulation, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (ETL, data pipeline development, synthetic data generation, data preparation), or graphics and GPU-accelerated programming.
- Significant technical depth in industrial software, robotics and/or automation technologies (e.g., 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.
- Clear communication skills for conveying technical concepts, architecture, and code to audiences ranging from engineers to executives.
- Validated ability to structure and implement sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners (sales, legal, product, marketing).
Ways to Stand Out
- Familiarity and/or experience with NVIDIA libraries and models: CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos.
- Strong recent experience developing or integrating technology libraries into industrial, robotics, or automation software.
- Familiarity with AIOps, cloud-native and container orchestration technologies (Kubernetes, Docker, Kubeflow), agentic architectures (e.g., MCP, LangGraph), and observability tools for monitoring complex autonomous systems.
- Track record of influencing sophisticated product decisions while balancing software partner needs.
Compensation & Benefits
- Base salary range (determined by location, experience, and comparable pay):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
 
- You will also be eligible for equity and benefits (see NVIDIA benefits).
Other Details
- Applications accepted at least until September 7, 2025.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.