Senior Solutions Architect, Autonomous Driving - GenAI

Details

NVIDIA is building the world’s leading AI company, and we are looking for an expert AV and GenAI Solutions Architect to help customers adopt NVIDIA's full-stack technologies and build and deploy solutions around Generative AI, Physical AI, and other GPU-accelerated technologies where intelligent agents can learn, reason, and interact with the world. As part of the Automotive Solutions Architecture team, you will work with accelerated computing platforms focused on development and test of autonomous vehicles, in-vehicle AI assistance, ride sharing algorithms, and related workflows. You will be the first line of technical expertise between NVIDIA and customers, engaging directly with developers, researchers, and scientists at strategic customers and partnering internally with business and engineering teams on product strategy.

Responsibilities

• Engage with customers to scope and develop solutions for building AV perception and planning models and pipelines, simulations, synthetic data generation, and software-in-the-loop testing.
• Advise on AI-enhanced manipulation and navigation workflows using NVIDIA's Physical AI platforms and CUDA-X libraries.
• Provide hands-on technical mentorship to partners and customers on the NVIDIA GenAI stack; guide development and deployment of agentic AI workflows and quantify benefits of accelerated computing software and hardware.
• Partner with Sales, Engineering, Product, and other Solution Architect teams to drive full-stack adoption; develop deep understanding of customer workflows and requirements.
• Lead proof-of-concept evaluations and provide internal feedback to drive continuous product improvements.
• Build collateral such as notebooks, GitHub repos, and demos for workflows including AV and GenAI data curation, model training and validation, LLMs, VLMs, video encoding/decoding, and related tooling.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
• 8+ years of hands-on experience in a technical AI role, with strong emphasis on AV end-to-end models and GenAI model development.
• Experience writing production code in Python or C++ and proficiency with Linux.
• Hands-on experience with DevOps tools such as GitLab, Docker, and Kubernetes.
• Strong understanding of AV systems (sensors, vehicle dynamics, perception, prediction, planning, control).
• Experience with deep learning (DL) and reinforcement learning (RL) algorithms and frameworks such as PyTorch.
• Ability to work across multiple levels and teams (engineering/research, product, sales, marketing).
• Effective verbal and written communication and technical presentation skills.
• Self-starter with a vision for growth and a passion for continuous learning and sharing findings across teams.

Ways to stand out

• Experience with AV sensors, data curation pipelines, world models, and simulation workflows and tools (e.g., CARLA).
• Experience with agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP, or equivalent.
• Understanding of computational characteristics of multimodal LLMs and VLMs (e.g., DiT).
• Experience deploying LLMs at scale on mainstream cloud providers (AWS, Azure, GCP).
• Proven track record profiling and optimizing inference latency and throughput, memory, and I/O utilization.

Compensation & Benefits

• Base salary range (for Level 4): 184,000 USD - 287,500 USD.
• Base salary range (for Level 5): 224,000 USD - 356,500 USD.
• You will also be eligible for equity and benefits.

Other information

• Applications accepted at least until September 13, 2025.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.