SoC Power Analysis and Optimization Engineer
Apple - Austin, United States of America
Posted Apr 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
SoC Power Analysis and Optimization Engineer Austin, United States of America As part of our Silicon Engineering group, you will take imaginative and revolutionary ideas and determine how to turn them into reality! You and your team will apply engineering fundamentals and start from scratch if needed, bringing forward-thinking ideas to the real world. Join us, and you will help design products that bring to our customers experiences they've never before envisioned. In this highly visible role, you will be responsible for SOC simulation, optimization and modeling. The main responsibility of this role is to drive the SOC power simulation, optimization and modeling. • Work with cross functional teams, including architecture, RTL and physical design teams, to determine the interesting use-cases to simulate power, to provide power projections and targets for the future projects, and to improving the SOC power efficiency • Working with SOC power team members to drive power analysis and optimization tasks, improving the efficiency with automation and GenAI/LLM approaches. • Explore new methodology to analyze the power data, create power metrics to identify the optimization opportunities, drive automated approach to improve SOC power efficiency across IPs • Collaborate cross-functional teams to deploy the power optimization to improve SOC power, review results, improve the methodology on efficiency, runtime, and support boarder scope of designs. Minimum Qualifications: A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience. Preferred Qualifications: Familiarity with ASIC power analysis and optimization Familiarity with machine
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