Senior Developer Relations Jobs (NOW HIRING)

Job Summary:
NVIDIA is seeking a highly technical Senior Developer Relations Manager to drive adoption of Omniverse and physical AI simulation libraries and AI models across their software partner ecosystem. The role involves serving as a technical advisor, collaborating with partner engineering teams, and developing technical enablement resources to accelerate adoption of NVIDIA technologies.
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, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.
• Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, achievements, and delivery plans. Give 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 - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for standard processes, and drive alignment with NVIDIA technical solutions.
• Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.
• Support product launches, technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring perfection in customer- and partner-facing materials.
Qualifications:
Required:
• A 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 - including requirements definition, design, 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.
• 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 (across sales, legal, product or marketing teams as needed).
Preferred:
• 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 (e.g., Kubernetes, Docker, Kubeflow), along with agentic architectures (e.g., MCP, LangGraph) and observability tools for monitoring complex, autonomous systems.
• Track record of influencing sophisticated product decisions through positive relationships while also balancing software partner needs with understanding.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.