Senior Applied Power Architect, GPU

What you'll do

• Invent methodologies and techniques to address electrical, speed, and power challenges for next-generation AI architectures.
• Drive power management initiatives to optimize power efficiency and performance while addressing thermal and electrical constraints.
• Analyze process characteristics to perform V-F tradeoff analysis considering Vt choices on power and performance metrics.
• Develop innovative solutions for multi-die technologies regarding packaging, interconnect, physical design, electrical, and thermal challenges.
• Analyze peak current, Di/Dt, IR, and EM requirements to formulate technical solutions.
• Collaborate with ASIC designers and packaging experts to resolve board-level power issues like supply voltage and over-current.

What we're looking for

• MSEE/MSCE, preferably PhD, or equivalent experience with a specialization in low-power-processor architectures.
• 6+ years of relevant industry experience in energy efficient system design fundamentals and performance/power modeling.
• Background in PDN design and understanding of electrical issues such as Di/Dt, undershoot/overshoot, IR, EM, and peak current (helpful).
• Ability to analyze board-level power issues like supply voltage and over-current (helpful).
• Exposure and working knowledge of Python and data analysis packages like Pandas, NumPy, and PyTorch (preferred).
• Exposure to lab setup including power measurement equipment such as scope/DAQ.
• Strong interpersonal and organizational skills with the ability to work as a great teammate.