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GPU Energy Modeling and Analysis Engineer

Job in Santa Clara, Santa Clara County, California, 95052, USA
Listing for: Apple
Full Time position
Listed on 2026-10-31
Job specializations:
  • Engineering
    Systems Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 184700 - 324800 USD Yearly USD 184700.00 324800.00 YEAR
Job Description & How to Apply Below
Role Number:
Team:
Hardware

Location:

Austin;
Santa Clara Posted:
Summary 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.

Description 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 in investigating energy reduction ideas across the HW/SW stack and driving directed studies of their PPA tradeoffs.

Experience in data mining and analyzing energy consumption on wide set of workloads to understand trends and identify high ROI opportunities to investigate.

Knowledge of low power ASIC design.

Proficient Python programmer or similar scripting languages.

Preferred Qualifications

Experience with Tableau and/or Splunk is a plus but not required.

Ability to work well in a team and be productive under aggressive schedules.

Excellent communications skills, self-motivated and well organized.

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note:

Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

EEO Statement Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status,…
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