NVIDIA
AI Hardware Architect
$184K–$356K
US, CA, Santa Clara +1 · Full-time · Posted Oct 16, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin - Experience
- 8+ years of relevant industry experience.
- Education
- Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience).
About the job
Architect next-generation AI hardware by analyzing GPU and CPU systems and developing microarchitectural solutions for AI infrastructure products.
What you'll do
- Analyze GPU and CPU systems, applications, and models to identify architectural improvements.
- Develop microarchitectural solutions for connectivity, coherency, power, security, and memory management; help drive protocol and solution implementation.
- Collaborate with software, firmware, platform, and customer teams, and model and explain performance and power benefits.
What they ask for
- Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience).
- 8+ years of relevant industry experience.
- Experience building high performance microarchitectural structures and with industry standard bus protocols.
- Clear understanding of performance, power, and security implications of microarchitectural features.
Nice to have
- Publications or other evidence of original chip/system architecture work.
- Good understanding of LLMs.
Pay
184,000 USD - 287,500 USD base salary; 224,000 USD - 356,500 USD base salary
Tools
GPU, CPU, LLMs
AI focus
Architect AI hardware and study AI applications and models running on NVIDIA hardware, including their architectural implications.
Model-written summary · the original posting is authoritative