Amazon
Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning
$213K–$288K
San Diego, CA +1 · Senior · Full-time · Posted Jun 19, 2026
- Location
- San Diego, CA
Cupertino, CA - Experience
- BS + 6yrs or MS + 5yrs or PhD + 3yr in EE/CS
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields
About the job
Models and analyzes power across machine-learning accelerator SoC design stages, and drives power reduction through design feedback, lab measurements, and collaboration across engineering teams.
What you'll do
- Perform full-chip power analysis and modeling from RTL through gate-level netlist, and maintain power-rollup dashboards.
- Develop analysis vectors with engineering teams for IR, thermal, and power estimation; provide power-reduction feedback to designers and architects.
- Measure power in the lab, correlate results with simulations, and model chip-level power with emulation engineers.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
- BS + 6yrs or MS + 5yrs or PhD + 3yr in EE/CS.
- Expertise with power analysis tools such as PrimePower, PowerArtist, or similar; deep circuit-level understanding of chip power.
- Proficiency in Tcl, Perl, Python, or similar; understanding of Physical Design, EM/IR, Power Integrity, and Thermal; some lab-equipment experience and ability to perform lab power analysis.
Nice to have
- Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
- Familiarity with Make, RTL design (System verilog), EMIR tools (Redhawk / Voltus), or Zebu Emulator platform.
Pay
213,000.00 - 287,500.00 USD annually (base salary)
Tools
PrimePower, PowerArtist, Tcl, Perl, Python, Make, System verilog, Redhawk / Voltus
AI focus
Supports AI workloads by analyzing and reducing power consumption in Inferentia and Trainium machine-learning accelerator SoCs.
Model-written summary · the original posting is authoritative