MatX
Senior SoC Power Analysis & Optimization Engineer
$160K–$600K
Mountain View (HQ) or Remote · Hybrid · Senior · Full-time · Posted Jul 22, 2026
- Experience
- 8+ years of industry experience in SoC, AI accelerator, GPU, networking ASIC, or high-performance digital design.
- Education
- BS or MS in Electrical Engineering, Computer Engineering, or related field.
- Visa sponsorship
- Employment is contingent on being able to perform job functions in compliance with U.S. export control laws without obtaining a license from U.S. export control authorities.
About the job
Develops power estimation methods, analyzes and optimizes power use across AI accelerator SoCs, and collaborates with architecture, RTL, and physical design teams to improve energy efficiency.
What you'll do
- Build and calibrate energy models and perform RTL, gate-level, and post-layout power analysis.
- Analyze AI workloads and drive power reduction across SoC subsystems, working with architecture, RTL, and physical design teams.
- Develop analysis automation and representative workloads, and present findings and recommendations.
What they ask for
- BS or MS in Electrical Engineering, Computer Engineering, or a related field.
- Strong understanding of computer architecture and SoC design, plus experience with ASIC low-power design techniques.
- Experience performing RTL and gate-level power analysis.
- Experience with Python, Perl, or similar scripting languages.
Nice to have
- RTL development using Verilog/SystemVerilog; experience with power analysis tools such as Joules, PowerArtist, or PrimeTime PX (PTPX/PPRTL).
- Experience with power modeling, implementation flows, power management, silicon correlation, or AI workload characterization.
Pay
USD $160,000 - $275,000 base salary; USD $175,000 - $400,000 base salary; USD $250,000 - $600,000 base salary
Tools
Python, Perl, Verilog/SystemVerilog, Joules, PowerArtist, PrimeTime PX (PTPX/PPRTL)
AI focus
Power analysis and optimization for AI accelerator SoCs, including workload analysis and power-performance analysis.
Model-written summary · the original posting is authoritative