Technical Lead, GenAI - Autonomous Vehicles
Nvidia
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How this pay compares to similar roles
This role pays more than 63% of similar roles. Most pay $184,900–$254,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $220k for comparable roles.
Based on 239 similar postings.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 896 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.
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At a glance
As a Senior Solutions Architect, Autonomous Driving - GenAI on the Automotive Solutions Architecture team, you will serve as the primary technical expert for customers adopting full-stack technologies. You will engage with developers and researchers to scope and develop solutions for autonomous vehicle perception, planning models, simulations, synthetic data generation, and software in the loop testing. Your daily work involves providing technical mentorship on the GenAI stack, guiding customers through Agentic AI workflows, and building collateral like notebooks and GitHub repositories for model training and validation. You will utilize Python, C++, Linux, PyTorch, and CUDA-X libraries while leveraging DevOps tools like Docker and Kubernetes. The role addresses complex challenges in autonomous vehicle systems, including sensor fusion, prediction, and navigation, while solving problems related to LLMs, VLMs, and video encoding within the Physical AI domain.
What does a Solutions Architect earn in California?
Median $235750 from 45 postings across 8 companies.
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