JobsSenior Solutions Architect, Autonomous Vehicles - Data Center
Senior Solutions Architect, Autonomous Vehicles - Data Center
NVIDIASenior Solutions Architect, Autonomous Vehicles - Data Center
NVIDIALocation
Santa Clara, CA
Type
Full-time
Posted
5/5/2026
Compensation
$184,000 - $356,500 per year
Undergraduate with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025Job description
NVIDIA is seeking an expert AV and Robotics Solutions Architect to join the Automotive Solutions Architecture team. This role involves engaging with customers to accelerate Physical AI workloads using NVIDIA's technologies, particularly in the development and testing of Autonomous Vehicles. The Solutions Architect will serve as the primary technical expert, collaborating with developers, researchers, and business teams to enhance product strategies. The position focuses on optimizing AI models and driving the adoption of NVIDIA's full-stack solutions.
Requirements
- 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 a 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.
Responsibilities
- Engage with customers to help accelerate training AV perception and planning/policy models at large scale using NVIDIA profiling tools.
- Partner with Sales, Engineering, Product, and other Solution Architect teams to drive NVIDIA full stack adoption.
- Develop and demonstrate solutions based on NVIDIA’s software and hardware technologies to customers.
- Perform in-depth analysis and optimization of state-of-the-art AI models for performance on GPU architectures.
- Build collateral applied to workflows such as model training and validations, LLM, VLA, VLM, and video encoding/decoding.
- Provide technical leadership to other team members.
Benefits
- Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.
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