Staff ASIC Power Engineer, ML Accelerators

• Contribute to design power modeling and drive convergence to power targets.
• Investigate, spec, and deploy architectural and microarchitectural power optimization techniques.
• Define best practices and methodologies to achieve low-power RTL designs.
• Collaborate with cross-functional software and system teams to create novel power management architectures to meet dynamic power targets.
• Own the execution and delivery of complex technical projects end-to-end, while being the technical lead of an experienced power team.

Minimum qualifications:

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 10 years of experience in design or architecture (e.g., logic design, power architecture, performance, or SoC design).
• Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.

Preferred qualifications:

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Experience defining and implementing chip-wide power management architectures and designs.
• Experience in power modeling, measurement, and correlation across the pre- and post-silicon phases.
• Experience with technical leadership and project ownership with a track record of successful delivery.
• Understanding of modern power and thermal management techniques at both the silicon and system levels (including Dynamic Voltage and Frequency Scaling (DVFS), Turboing, Thermal Management, and System-Level Tradeoffs).
• Ability to solve open-ended power and performance problems under ambiguity.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 10 years of experience in design or architecture (e.g., logic design, power architecture, performance, or SoC design).
• Experience with power design, power modeling, power architecture, or power reduction methodologies/techniques.