Nvidia Senior Developer Relationship Manager - Autonomous Vehicles 

United States, California 

942394250

What you’ll be doing:

• 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 DevRel 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. Incorporating 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

What we need to see:

• 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, TensorFlow).

• Deep understanding of AI model development lifecycles, from data pipelines and training to optimization and deployment on edge devices.

Ways to stand out from the crowd:

• 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 like ISO 26262.

• Strong understanding of the enterprise AI landscape and the challenges faced by autonomous vehicle developers in embracing new AI technologies at scale.