Senior Developer Relationship Manager - Autonomous Vehicles
NVIDIA· Account Mgr, Dev Relations
Santa Clara, CA$184k - $287.5k + equityFull-timePosted 7mo ago
About the role
Senior technical DevRel lead to engage and enable developers and partners in NVIDIA’s Autonomous Vehicles platform, driving adoption, collecting ecosystem feedback, and aligning developer programs with product strategy across AI training, simulation, synthetic data, validation, and in-vehicle deployment.
Responsibilities
- Lead technical developer engagement with strategic autonomous vehicle partners, including OEMs, Tier 1 suppliers, startups, ISVs, and research organizations.
- Serve as a primary DevRel point of contact for the AV developer ecosystem, helping partners adopt NVIDIA technologies across AI training, simulation, synthetic data, validation, and in-vehicle deployment.
- Develop and deliver technical enablement programs, including workshops, sample applications, reference architectures, demos, best-practice guides, executive briefings, and industry event content.
- Support early-access software and platform integrations with key partners, collecting feedback, identifying technical blockers, and helping drive successful adoption.
- Champion partner requirements, architectural patterns, product gaps, and developer feedback with NVIDIA product and engineering teams.
- Partner with solutions architects, product managers, engineering, sales, marketing, and regional teams to align developer engagement with NVIDIA’s Automotive platform strategy.
- Build trusted relationships with technical leaders, developers, decision makers, and ecosystem influencers to accelerate adoption and deepen long-term engagement.
- Support go-to-market and product launch activities by translating technical capabilities into clear developer value and partner outcomes.
- Track ecosystem needs, adoption signals, and technical engagement patterns to inform roadmap priorities and future developer programs.
Qualifications
- 8+ years of experience in developer relations, technical partnerships, software engineering, product management, solutions architecture, or ecosystem development.
- Strong technical background in autonomous vehicles, automotive software, AI, simulation, accelerated computing, embedded systems, or related domains.
- Experience working with automotive OEMs, Tier 1 suppliers, AV startups, ISVs, or enterprise technology partners.
- Hands-on experience with AI model training, synthetic data generation, simulation, data pipelines, full-stack software, edge deployment, or autonomous systems.
- Ability to engage credibly with developers and senior technical leaders while also communicating clearly with business, product, and executive stakeholders.
- Experience translating partner feedback into product requirements, technical roadmap input, documentation improvements, and scalable enablement programs.
- Strong communication and interpersonal skills, with a track record of building trust across internal teams and external partners.
- Hands-on experience with C++, Python, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.
- Understanding of AI model development lifecycles, from data pipelines and training through optimization, validation, and deployment on edge devices.
Skills
Required:Developer relationsAutonomous vehicles / automotive softwareC++, Python, CUDAPyTorch / TensorFlow
Benefits
- equity
- benefits
Last updated Sep 4, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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