NVIDIA
Solutions Architect - OEM AI Factory Infrastructure
$152K–$288K
US, CA, Santa Clara · Full-time · Posted Feb 5, 2026
- Experience
- 5+ years experience.
- Education
- BS, MS, or PhD in Computer Science, Computer Architecture, Electrical Engineering, Math, Physics, Data Science, or related technical fields (or equivalent experience)
About the job
Supports OEM partners in building AI Factory infrastructure by understanding technical needs, developing NVIDIA proof-of-concepts, documenting findings, and providing hands-on training.
What you'll do
- Collaborate with solution architects and engineering or product teams; understand partner and customer technical needs.
- Develop proof-of-concept projects with NVIDIA technologies and document and share takeaways.
- Educate partners through hands-on training.
What they ask for
- BS, MS, or PhD in a listed technical field, or equivalent experience.
- 5+ years experience.
- Strong skills in one or more programming languages (Python, C, C++, etc.).
- Excellent presentation, communication, collaboration, analytical, and problem-solving skills; ability to work independently and cross-functionally.
Nice to have
- Experience with NVIDIA GPUs and software libraries.
- Work in an engineering or research community; familiarity with computer architecture, software engineering, data science, GPUs, AI, CUDA, or data center infrastructure.
Pay
152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)
Tools
Linux, Python, C, C++, Slurm, NVIDIA GPUs, CUDA, Ethernet and Infiniband
AI focus
Develops proof-of-concept projects using NVIDIA technologies and supports deployment, configuration, validation, and monitoring of OEM AI Factories and HPC/AI workloads.
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