Senior Developer Relationship Manager - Autonomous Vehicles

NVIDIA is at the forefront of the autonomous vehicle revolution, powering development with a cohesive, end-to-end platform. This platform consists of three core pillars: NVIDIA DGX systems for massively parallel AI training in the data center; NVIDIA Omniverse on OVX systems for physically accurate simulation, synthetic data generation, and validation; and the NVIDIA DRIVE AGX in-vehicle computer for safe, real-time processing of sensor data.

Together, these systems build a continuous, accelerated development loop—a "digital twin" for AV development that speeds innovation in performance and safety. We are seeking a technical Senior Automotive Developer Relationship Manager to assist with the technical engagement and drive the adoption of NVIDIA's end-to-end automotive solutions. In this role, you will be the primary technical liaison for our automotive developer ecosystem, working closely with NVIDIA's Product, Engineering, and Solutions Architecture teams to architect and accelerate the integration of our technologies.

• Assist with technical product engagement with senior technical leaders at strategic automotive partners, from innovative startups to established OEMs and Tier 1 suppliers.
• Serve as a primary Dev Rel point of contact.
• Develop and communicate a detailed technical understanding of NVIDIA’s three core pillars: DGX, Omniverse, and DRIVE AGX including NVIDIA AI Enterprise.
• Incorporate standard methodology guides, and hands‑on workshops for industry events, partner training and executive briefings.
• Assist with early‑access software integrations with key partners, providing hands‑on support and debugging to ensure successful deployment and feedback collection.
• Champion partner requirements, constraints, architectural patterns, and feature gaps to internal product and engineering teams.
• Contribute to product roadmap decisions by synthesizing insights from large‑scale enterprise environments and cross‑industry patterns, acquired through partner engagements.
• Partner management to navigate partner orgs and foster direct relationships with decision makers, influencers, champions and execs to drive impactful decisions.
• Build trust across all levels of partner groups to ensure alignment and dedication.
• Enable commercial discussions with ISV partners with NVIDIA Sales, Legal, and Product teams.
• Support product launch and go‑to‑market activities with the Partner’s and NVIDIA Marketing and Sales teams.

• 8+ overall years of experience at a major technology company building or driving integrations of Software and SDKs into products.
• Advanced degree in a STEM field or equivalent experience in Computer Science, Electrical Engineering, or a related field.
• MBA or proven experience.
• Experience leading and driving strategic partnerships with automotive companies with proven results.
• Hands‑on experience (as a software engineer or technical product manager) in one or more of these areas: enterprise‑scale software development, data pipeline automation, full stack, AI model training, or synthetic data generation.
• Extraordinary interpersonal skills with a proven track record to articulate a value proposition to technical and non‑technical audiences.
• Experience in structuring and negotiating sophisticated agreements, including working with internal and external commercial and legal teams to complete agreements.
• Consistent track record to blend discernment, customer focus, and excellence on new technologies.
• Hands‑on experience with C++, Python, CUDA, and deep learning frameworks (e.g., PyTorch, Tensor Flow).
• Deep understanding of AI model development life cycles, from data pipelines and training to optimization and deployment on edge devices.

• Experience with World Foundational Models and other generative modeling techniques for Physical AI.
• GPU‑based libraries, frameworks, tools, SDKs and infrastructure for model training and inference.
• GPU‑powered simulation platforms, such as NVIDIA Ominverse, Unreal Engine, or Unity.
• Direct experience working on ADAS/AD software stacks (e.g., perception, sensor fusion, path planning) and knowledge of automotive standards…