NVIDIA
Senior Applied Power Architect - GPU
$168K–$310K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 5, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin - Experience
- 6+ years of relevant industry experience.
- Education
- MSEE/MSCE, preferably PhD, or equivalent experience, with a specialization in low-power-processor architectures.
About the job
Develops power-efficient GPU architectures by creating methods and solutions for electrical, speed, power, thermal, and packaging challenges.
What you'll do
- Invent methodologies, features, and techniques to address electrical, speed, and power challenges in next-generation AI architectures.
- Drive power-management initiatives and analyze process, voltage-frequency, and threshold-voltage tradeoffs.
- Investigate multi-die technologies and analyze power-integrity requirements, collaborating with design, packaging, and product teams.
What they ask for
- MSEE/MSCE, preferably PhD, or equivalent experience, specializing in low-power processor architectures.
- Solid understanding of energy-efficient system design, performance/power modeling, and related tradeoffs.
- Strong interpersonal and organizational skills and ability to work as a teammate.
Nice to have
- Background in PDN design and understanding of electrical issues and mitigation techniques.
- Exposure to Python, Pandas, NumPy, PyTorch, lab power-measurement equipment, or board-level power analysis.
Pay
168,000 USD - 264,500 USD (base salary, Level 4); 196,000 USD - 310,500 USD (base salary, Level 5)
Tools
Python, Pandas, NumPy, PyTorch, scope/DAQ
AI focus
Develops power-efficient GPU architectures for AI products and next-generation AI architectures; NVIDIA also states that it uses AI tools in recruiting.
Model-written summary · the original posting is authoritative