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Distinguished Power Architect
Ampere Computing
Portland, ORFull-time$279,500 – $419,500 / yearly
Job details
Pay
$279,500 – $419,500 / yearly
Job type
Full-time
Work setting
On-site
Location
Portland, OR
Posted
Posted 7 days ago
Full job description
Lead power modeling, analysis, optimization, management, convergence, and validation across CPU, AI accelerator, memory, I/O, and interconnect designs, spanning architecture through silicon - including pre-silicon analysis, post-silicon characterization, and power-management enablement.
Key responsibilities:
- Set power targets, budgets, and operating points for CPU, AI accelerator, and SoC blocks
- Build architectural, RTL, gate-level, emulation, and silicon power models
- Run RTL and gate-level power analysis and drive optimizations
- Characterize CPU, memory, I/O, and AI workloads to find power and performance bottlenecks
- Lead power/performance/area/thermal tradeoffs and power convergence
- Build automation and analysis flows in Python, TCL, Perl, or similar
- Apply techniques like clock and power gating, DVFS, and adaptive voltage scaling
- Support voltage-frequency characterization, AVS, binning, and SKU definition
- Correlate pre-silicon estimates with silicon data and build team consensus
Qualifications
- Familiarity with tools such as Spyglass, Power Artist, Joules, or PrimePower
- Experience with emulation, FPGA, silicon measurement, telemetry, or power/performance correlation
- Experience with voltage-frequency characterization, AVS, silicon binning, SKU definition, or power-management firmware
- Tcl, Perl, C/C++, shell, SQL, or data-analysis tool skills
Requirements
- Experience in semiconductor power analysis, modeling, optimization, power management, workload characterization, or silicon validation
- Strong understanding of CMOS power fundamentals and power-reduction techniques
- Knowledge of CPU, AI accelerator, memory, I/O, interconnect, and processor workload behavior
- Experience with RTL and gate-level power-analysis tools and methodologies
- Strong Python programming and scripting skills
- Bachelor's + 15 years, Master's + 12 years, or PhD + 8 years in EE, computer engineering, or a related field
SemiconductorEngineering
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