Senior Applied Power Architect – Gpu
| Company | NVIDIA |
|---|---|
| Location | Austin, TX, USA, Santa Clara, CA, USA |
| Salary | $136000 – $368000 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior |
Requirements
- MSEE/MSCE, preferably PhD, or equivalent experience with a specialization in low-power-processor architectures
- Strong knowledge of energy efficient system design fundamentals and related tradeoffs from your 3+ years of relevant industry experience
- Deep understanding of processors (GPU is a plus), servers, and system-SW architectures, and their performance/power modeling techniques
- Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch
- Exposure to industry standard Power Analysis EDA tools such as PrimePower etc a plus
- Experience with performance monitors/simulators used in modern processor architectures
- Exposure to lab setup including power measurement equipment such as scope/DAQ
- Strong interpersonal and organizational skills and the ability & desire to work as a great teammate
Responsibilities
- Inventing flows/methodologies and building the power estimation models/tools for GPU products and AI systems
- Investigate multi-die technologies and come up with innovative solutions to address packaging, interconnect, physical design, electrical and thermal challenges
- Drive performance vs power analysis to enable management/marketing with meaningful product decisions and customer interaction
- Collaborate closely with other System/SW Architects, Signal Integrity/Packaging experts and Product engineers to understand product challenges and energy efficiency improvements
Preferred Qualifications
- Exposure to industry standard Power Analysis EDA tools such as PrimePower etc a plus
- Experience with performance monitors/simulators used in modern processor architectures