NVIDIA · 6 months ago
Senior Solutions Architect, Autonomous Driving - GenAI
US, CA, Santa Clara
Full-time
Onsite
Senior Level, Lead/Staff
$184K/yr - $356K/yr
8+ years expNVIDIA is building the world’s leading AI company, and they are looking for an expert AV and GenAI Solutions Architect to help assist customers with adoption of NVIDIA's full-stack technologies. The role involves engaging directly with customers to develop solutions around Generative AI and Autonomous Vehicles while providing technical mentorship and collaborating with various teams to drive product adoption.
Computer Hardware Manufacturing
Responsibilities
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 develop 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
Qualification
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 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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing.
10,001+ employees
H1B Sponsorship
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Funding
Current Stage
Late StageCompany data provided by crunchbase