Senior Solutions Architect, Autonomous Driving - GenAI - CA, Santa Clara, United States
$184,000 - $287,500 USD yearly
Originally posted 27 October 2026 by the employer. Relisted by the employer on 28 October 2026.
About the role
As a Senior Solutions Architect on the Automotive Solutions Architecture team, you will assist customers in adopting NVIDIA's full-stack technologies and deploying solutions around Generative AI, Physical AI, and autonomous vehicles. In this role, you will work with platforms focused on autonomous vehicle development, in-vehicle AI assistance, and CUDA-X libraries.
What you'll do
- Scope and develop customer solutions for AV perception and planning models, simulation pipelines, synthetic data generation, software-in-the-loop testing, and AI-enhanced navigation workflows. - Partner with Sales, Engineering, and Product teams to lead proof-of-concept evaluations, understand customer workflows, and deliver technical feedback for product improvements. - Create technical collateral, including Jupyter notebooks, GitHub repositories, and demos focused on AV and GenAI data curation, model training, LLMs, VFMs, and video processing.
What you'll need
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience. - 8+ years of hands-on technical AI experience, with a focus on AV End-to-End models and GenAI model development. - Production coding experience in Python or C++, along with proficiency in Linux. - Hands-on experience with DevOps tools including GitLab, Docker, and Kubernetes. - Technical understanding of AV systems, covering sensors, vehicle dynamics, perception, prediction, planning, and control. - Experience with DL and RL algorithms and frameworks such as PyTorch.
Skills: AV, GenAI, Python, C++, DevOps tools, DL and RL algorithms