GPU Energy Modeling and Analysis Engineer
Apple - Austin, United States of America
Posted Nov 4, 2025
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- 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
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- Learning budget
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- 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
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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
GPU Energy Modeling and Analysis Engineer Austin, United States of America Do you love creating elegant solutions to highly complex challenges? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions! Joining this group means you'll be crafting and building the technology that fuels Apple's devices. Together, we enable our customers to do all the things they love with their devices! We are looking for a versatile and creative engineer to support the power activity of Apple best-in-class GPU development. Develop micro-architectural level energy models for early power estimation, what-if analysis, perf per watt tradeoff analysis, and power targets. Analyze and provide insight into power consumption throughout the GPU and where opportunities to reduce energy are. Analyze and drive power reduction techniques across entire stack, working with driver, compiler, app engineers, architects, micro-architects, and designers to understand and reduce power of high value workloads through SW improvements or architectural/micro-architectural improvements. Develop tools to aid in the measurement, visualization, analysis of GPU energy and opportunities to reduce power. Conduct directed studies to prototype solutions to improve the architecture/micro-architecture of next generation GPU's to reduce power. Minimum Qualifications: Computer architecture knowledge. Experience investigating and evaluating PPA tradeoffs. Knowledge of low power ASIC design. Proficient Python programmer or similar scripting languages. Minimum BS degree and 3+ years of relevant experience. Preferred Qualifications: Experience with Tableau and/or Splunk
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