Senior Developer Relations Manager, Omniverse

🕒 September 3, 2025

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Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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.

🎯 Requirements

• 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 in one or more 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 (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). • Familiarity and/or experience with NVIDIA libraries and models (CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos) (preferred). • Strong recent experience developing or integrating technology libraries into industrial, robotics or automation software (preferred). • Familiarity with AIOps, cloud-native and container orchestration technologies (e.g., Kubernetes, Docker, Kubeflow), agentic architectures (e.g., MCP, LangGraph) and observability tools (preferred).

🏖️ Benefits

• Equity and benefits

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