Senior Solutions Architect, Autonomous Driving - GenAI
NVIDIA· Architect, Solutions
Santa Clara, CA$184k - $287.5kfull-timePosted 5mo ago
About the role
Senior Solutions Architect focusing on AV and GenAI solutions, engaging with customers to adopt NVIDIA full-stack technologies, develop autonomous driving pipelines, GenAI workflows, and Physical AI applications on NVIDIA platforms.
Responsibilities
- Engage with customers to scope and develop solutions for 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 benefits of accelerated computing software and hardware.
- Partner with Sales, Engineering, Product and other Solution Architect teams to drive NVIDIA full stack adoption. Understand customer workflows, lead proof-of-concepts evaluations, and provide internal feedback to drive product improvements.
- Build collateral (notebooks, github repos, demos, etc.) for AV and GenAI data curation, model training and validations, LLMs, VFMs, video encoding/decoding, etc.
Qualifications
- 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, dynamics, perception, prediction, planning, control).
- Experience with DL and RL algorithms and frameworks such as PyTorch.
- Ability to work across organizational levels and teams (engineering/research, product, sales, marketing).
- Effective verbal/written communication and technical presentation skills.
- Self-starter with growth mindset and passion for continuous learning.
Skills
Required:AV perception and planningPythonLinuxDevOps toolingDL/RL frameworksCommunication
Nice to have:C++Agentic AI workflowsCloud/scale deploymentModel optimization
Benefits
- equity
- comprehensive benefits package (see company benefits)
Last updated Jul 3, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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