Senior Solutions Architect, Autonomous Driving - GenAI

About the role

The role of AV and GenAI Solutions Architect at NVIDIA involves assisting customers in adopting NVIDIA's full-stack technologies, focusing on physical AI and generative AI solutions. This position works closely with automotive solutions architecture teams to support the development of advanced autonomous vehicle technologies, in-vehicle AI assistance, and ride-sharing algorithms.

Responsibilities

• Engage with customers to scope and develop solutions for AV perception and planning models, simulations, synthetic data generation, and software-in-the-loop testing.
• Provide hands-on technical mentorship to partners and customers on the Nvidia GenAI stack.
• Guide customers in developing and deploying Agentic AI workflows on NVIDIA platforms, quantifying the benefits of accelerated computing software and hardware.
• Partner with Sales, Engineering, Product, and other Solution Architect teams to drive full stack adoption.
• Develop a deep understanding of customer workflows and requirements, lead proof-of-concept evaluations, and provide internal feedback to drive continuous product improvements.
• Create collateral (notebooks, GitHub repos, demos, etc.) applied to workflows such as AV and GenAI data curation, model training and validations, LLMs, VFMs, video encoding/decoding, etc.

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 a strong emphasis on AV end-to-end models and GenAI model development.
• Experience writing production codes 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, dynamics, perception, prediction, planning, control).
• Experience with DL and RL algorithms and frameworks such as PyTorch.
• Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams).
• Effective verbal/written communication, and technical presentation skills.
• Self-starter with a vision for growth, real passion for continuous learning and sharing findings across the team.

Qualifications

• Experience with AV sensors, data curation pipelines, world models, simulations workflows and tools, such as Carla.
• Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.
• Understanding computational characteristics of multimodal LLMs, VLMs, DiT, etc.
• Experience in deploying LLM models at scale on mainstream cloud providers (e.g., AWS, Azure, GCP).
• Proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.

Skills

• Technical expertise in AI and machine learning.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Benefits

NVIDIA offers competitive compensation, including a base salary range of $184,000 - $287,500, along with equity and comprehensive benefits.

Pay

Base salary is determined based on location, experience, and the pay of employees in similar positions.

Schedule

Full-time position.

Application Instructions

Applications for this job will be accepted at least until May 9, 2026. This posting is for an existing vacancy.