Arm · 1 week ago
SoC Low Power & Power Analysis Engineer
San Diego, CA
Full-time
Hybrid
Entry, Mid Level
$126K/yr - $170K/yr
2+ years expArm is leading the vision to unlock a broad ecosystem of silicon required for AI, data centers, mobile, compute, and IoT. They are seeking a SoC Low Power & Power Analysis Engineer to drive the development of design methodologies and automation frameworks while collaborating with various teams to enhance power analysis and estimation strategies.
AnalyticsElectronicsInternet of ThingsSemiconductorSoftware
Responsibilities
Architect and develop Python, Bash, and Tcl-based automation frameworks for power analysis, significantly reducing netlist-based power estimation turnaround times (e.g., 6 weeks → 2 weeks)
Implement automated flows including complex script generation, LSF job scheduling, report parsing, and single-template configuration management
Build tools such as Excel-based power calculators for rapid early-stage power approximation and system-level modeling
Build and implement AWS-based ETL pipelines, aggregating simulation data into S3-based data lakes for centralized power analysis
Develop data extraction, normalization, and post-processing scripts in Python
Build dashboards using AWS QuickSight to provide project-wide access to power metrics, trends, and debugging insights
Develop machine-learning models for leakage prediction and early-stage power estimation, achieving 80–90% accuracy vs. signoff data
Drive proof-of-concept validation and influence future ML-enabled power prediction flows
Qualification
Required
Bachelor's or Master's degree or equivalent experience in Electrical Engineering, Computer Engineering, or related field
2+ years of confirmed experience in SoC low-power engineering, pre-silicon power estimation, signoff, or similar
Strong expertise in: Synopsys PTPX / PrimePower
Low-Power Design Methodologies and Power Signoff
Python, Tcl, Bash, Linux/Unix, LSF job scheduling
AWS technologies: S3, ETL pipelines, QuickSight
Preferred
Experience with machine learning model development and deployment for engineering workflows
Experience building enterprise-level dashboards or analytics tools
Publications in power systems, applied machine learning, or embedded systems
Benefits
We offer a hybrid approach to home and office working to provide an adaptable experience for all employees.
Our 10x mindset guides how we engineer, collaborate, and grow.
At Arm, we want to build extraordinary teams.
Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing.
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues.
Company
Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world.
5001-10000 employees
H1B Sponsorship
Arm has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (295)
2024 (166)
2023 (164)
2022 (123)
2021 (103)
2020 (133)
Funding
Current Stage
Public CompanyTotal Funding
unknown2016-07-18Acquired
1999-01-15IPO
Leadership Team
Rene Haas
CEO
Jason Child
EVP & CFO
Recent News
2026-01-09
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