Senior Solutions Architect, Autonomous Driving - GenAI

NVIDIA Corp

Santa Clara, CA

JOB DETAILS
SKILLS
Algorithms, Amazon Web Services (AWS), Artificial Intelligence (AI), Audiovisual, Autonomous Driving Systems, C++ Programming Language, CUDA (Compute Unified Device Architecture), Cloud Computing, Computer Hardware, Computer Science, Computer Software, Computer Systems, Customer Acquisition, Customer Support/Service, Data Management, Data Modeling, DevOps, Docker, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), GitHub, Input/Output, Linux Operating System, MCP - Microsoft Certified Professional, Marketing, Memory Hardware, Mentoring, Microsoft Windows Azure, Model Validation, Partner Sales, Presentation/Verbal Skills, Process Improvement, Product Demonstration, Product Strategy, Proof of Concept, Python Programming/Scripting Language, Sales, Scientific Research, Software Agents, Technical Presentation, Test Plan/Schedule, Writing Skills, XLib
LOCATION
Santa Clara, CA
POSTED
30+ days ago

NVIDIA is building the world's leading AI company, and we are looking for an expert AV and GenAI Solutions Architect to help assist customers with adoption of NVIDIA's full-stack technologies as well as building and deploying solutions around Generative AI and Physical AI and other related GPU-accelerated technologies in which intelligent agents can learn, reason, and interact the world. As part of the Automotive Solutions Architecture team, we work with some of the most innovative accelerated computing platforms focused on the development and test of autonomous vehicles, in-vehicle AI assistance, and ride sharing algorithms among other things. A Solutions Architect is the first line of technical expertise between NVIDIA and customers so you will engage directly with developers, researchers, and visionary scientists at some of the most strategic customers as well as work directly with business and engineering teams on product strategy as it pertains to these customers. Join us in this exciting endeavor!

What you'll be doing:

  • Engage with customers to help them scope and develop solutions for building AV perception and planning models and pipelines, simulations, synthetic data generation, and software in the loop testing, 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 Nvidia GenAI stack. Guide customers to develope and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.

  • 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.

  • Build 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • Experience with AV sensors, data curation pipelines, world models, simulations workflows and tools e.g., Carla.

  • Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP or equivalent experience.

  • Understand 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About the Company

N

NVIDIA Corp

Visualize your future . . . We Do
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
FOUNDED
1993
WEBSITE
http://www.nvidia.com