Senior Automotive Engineer Jobs in California (NOW HIRING)

Job Summary:
NVIDIA is at the forefront of the autonomous vehicle revolution, powering development with a cohesive, end-to-end platform. They are seeking a technical Senior Automotive Developer Relationship Manager to assist with technical engagement and drive the adoption of NVIDIA's automotive solutions, acting as a liaison for the automotive developer ecosystem and collaborating with internal teams to ensure successful integration of technologies.
Responsibilities:
• 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
Qualifications:
Required:
• 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.
Preferred:
• 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.
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.