NVIDIA · 3 days ago
Senior Solutions Architect, Autonomous Vehicles - Data Center
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is building the world’s leading AI company, and they are looking for an expert AV and Robotics Solutions Architect who can help customers accelerate Physical AI workloads using NVIDIA's full-stack technologies. The role involves engaging with customers to accelerate training models and providing technical leadership while collaborating with various teams to drive NVIDIA full stack adoption.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Responsibilities
Engage with customers to help accelerate training AV perception and planning/policy models, simulations, synthetic data generation, software in the loop testing, at large scale using Nvidia profiling tools Nsight System/Compute and employing libraries and frameworks such as cuDNN, NCCL, Transform Engine, PyTorch, etc
Partner with Sales, Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. Develop a deep understanding of customer workflows and requirements, lead proof-of-concepts evaluations and provide internal feedback to drive continuous product improvements
Develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies to customers
Perform in-depth analysis and optimization of state-of-the art AI models to ensure the best performance on current- and next-generation GPU architectures
Build collateral (notebooks, github repos, demos, etc.) applied to workflows such as model training and validations, LLM, VLA, VLM, World Models, video encoding/decoding, etc
Provide technical leadership to other team members
Qualification
Required
BSc/MSc/PhD or equivalent experience in Computer Science, Electrical Engineering, Physics, Mathematics, or a related technical field
8+ years of hands-on validated ML/DL Infra experience in Autonomous Vehicles with focus on improving compute efficiency of training and inferencing workloads
Experience with Python, CUDA, or C++ and proficiency with Linux
Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes
Strong understanding of AV L3/L4 related models, reconstruction-based or generative world models, and simulations
Effective verbal/written communication, and technical presentation skills. Ability to communicate your ideas/code clearly through blog posts, GitHub, ppt
Preferred
Prior technical leadership experience
Solid understanding of CUDA, and experience with Nsight System and Nsight Compute
Robotics model development experience
Skilled in deploying ML/DL models at scale on cloud computing clusters with GPUs
Development experience with NVIDIA software libraries and GPUs, and profiling
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-07
2026-01-07
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