Role at a glance
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- 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.
- Education
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
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Role Summary
The AV and GenAI Solutions Architect works with customers on adopting NVIDIA technologies and developing solutions for autonomous vehicles, Generative AI, and Physical AI. The role also partners with sales, engineering, product, and other solutions architecture teams on customer requirements and product feedback.
What You'll Do
- Help customers scope and develop AV perception and planning models and pipelines, simulations, synthetic data generation, and...
- Mentor customers and partners on NVIDIA's GenAI stack and guide development and deployment of Agentic AI workflows.
- Lead proof-of-concept evaluations and share customer workflow requirements and feedback with internal teams.
- Create technical collateral such as notebooks, repositories, and demos for AV and GenAI workflows, including data curation, model...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience; 8+ years of hands-on technical AI experience emphasizing AV End-to-End models and GenAI development. Production coding in Python or C++, Linux proficiency, and hands-on DevOps experience with GitLab, Docker, and Kubernetes. Strong understanding of AV systems, including sensors, dynamics, perception, prediction, planning, and control; experience with deep learning and reinforcement learning algorithms and frameworks such as PyTorch. Effective communication and technical presentation skills; ability to work across organizational levels and teams.
Required
- 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 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, dynamics, perception, prediction, planning, control).
- Experience with DL and RL algorithms and frameworks such as PyTorch.
- Effective verbal and written communication and technical presentation skills.
Preferred
- Experience with AV sensors, data curation pipelines, world models, and simulation workflows and tools such as Carla.
- Experience with Agentic AI frameworks, tools, and protocols like LangChain, LangGraph, MCP, or equivalent experience.
- Understanding of computational characteristics of Multimodal LLMs, VLMs, DiT, and related models.
- Experience deploying LLM models at scale on mainstream cloud providers such as AWS, Azure, or GCP.
- Track record profiling and optimizing inference latency and throughput, memory, and I/O utilization.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
You will also be eligible for equity and benefits.
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
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.