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MatX

Senior SoC Power Analysis & Optimization Engineer - Mountain View, CA, United States

MatX Remote friendly (Mountain View, CA, United States) 3 months ago
AI/ML Hardware

$275,000 - $475,000 USD yearly

Originally posted 22 July 2026 by the employer.

About the role

The Senior SoC Power Analysis & Optimization Engineer develops power estimation methodologies and conducts power analysis and optimization for AI accelerator SoCs across compute, memory, and high-speed connectivity subsystems.

What you'll do

- Develop and maintain power estimation methodologies and calibrate energy models for early architectural exploration and power target definition. - Perform RTL, gate-level, and post-layout power analysis across major SoC subsystems. - Analyze AI workloads and application use cases to identify opportunities for dynamic and static power reduction. - Drive power optimization across compute, memory, interconnect, PCIe, HBM, clock/reset, and other SoC subsystems. - Collaborate with architects, RTL designers, and physical design teams to evaluate implementation trade-offs and implement power-efficient microarchitecture. - Develop automation, scripts, dashboards, and heuristics to support power analysis and root-cause investigation.

What you'll need

- BS or MS in Electrical Engineering, Computer Engineering, or a related field. - 8+ years of industry experience in SoC, AI accelerator, GPU, networking ASIC, or high-performance digital design. - Strong understanding of computer architecture and SoC design. - 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 experience using Verilog/SystemVerilog. - Experience with clock distribution, multiple clock domains, clock gating, and power-aware RTL design. - Experience with synthesis, static timing analysis, place-and-route, and implementation flows. - Experience developing power models, budgeting methodologies, and projection flows. - Experience analyzing large power datasets using scripting and data analytics. - Experience correlating pre-silicon power estimates with silicon measurements. - Experience with AI workload characterization and power-performance analysis.

Skills: SoC power analysis, AI accelerator, low-power design, RTL power analysis, gate-level power analysis, power optimization

Market context

This role has been open 89 days — slightly above the 84-day median for AI/ML Hardware Engineering roles.

AI/ML Hardware Engineering · AI ML Hardware

Open roles in category
507
Median days open
84 d
Median salary
$236k
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
How MatX compares in AI/ML Hardware Engineering hiring
Metric MatX All employers we track in this specialty (507 roles · 77 employers)
Open roles in this specialty 3 507
Open roles in the wider Software, Firmware & Systems family 35 6166 · 145 employers
Median days open 89 d 84 d (+5 d vs this employer)
Median salary (USD postings) — $236k

Skills observed across this category: SoC power analysis, AI accelerator, low-power design, RTL power analysis, gate-level power analysis, power optimization

Who's hiring in this category

  • Qualcomm · 99 open roles · median 115 d
  • NVIDIA · 91 open roles · median 54 d
  • AMD · 41 open roles · median 82 d
  • Micron Technology · 28 open roles · median 61 d
  • Analog Devices · 19 open roles · median 37 d
  • Mobileye · 17 open roles · median 81 d

How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 19 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.

Apply now
Mountain View, CA, United States
Hybrid
$275,000 - $475,000 USD yearly
3 months ago

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