GPU Design Engineer – Memory Hierarchy

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• 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

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$181K-$318K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

114% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

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 Design Engineer – Memory Hierarchy Santa Clara, 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 and efficiently handle the tasks that make them beloved by millions. Join us to help deliver the next groundbreaking products containing an Apple designed GPU. As part of the GPU Memory Hierarchy Design team, you'll be responsible for crafting and building a GPU that enriches the lives of millions of people every day! modelers in order to assess the feasibility of ideas, refine ideas, and seed new ones. You will specify new micro-architecture and optimize existing ones; you will use your intuition gained from experience as a guide but not as a filter. The role requires the analysis of specific workloads across existing and new product categories to identify bottlenecks and opportunities for improvement. As a member of the GPU micro-architecture team, you will collaborate to improve our processes and look for ways to boost the efficiency of the entire team! Minimum Qualifications: Experience with CPU or GPU architecture and micro-architecture concepts Experience in one of the following areas: cache, memory subsystem, on-chip interconnect network, data compression or GPU pipeline Minimum of BS degree and 10+ years of relevant experience Preferred Qualifications: Knowledge in C/C++ Experience in scripting languages such as Perl, Python and Ruby Proficiency in high performance, low power

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