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Apple Silicon GPU Driver Engineer - Performance, Graphics, Games, and ML

Apple - Cupertino, United States of America

Posted Jun 11, 2026

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
$147K-$272K 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

80% 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
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Apple Silicon GPU Driver Engineer - Performance, Graphics, Games, and ML Cupertino, United States of America The Apple Silicon GPU Driver Performance team is responsible for ensuring great GPU performance across our entire product line. This team is involved in all phases of the product development cycle - from working with HW teams on our GPU feature and architectural roadmaps, delivering and analyzing the performance of the latest modern GPU workloads on emerging platforms, developing our state of the art performance analysis capabilities on silicon, and helping internal and external partners to achieve the best performance possible on Apple Silicon GPUs. Members of this team possess deep technical expertise in our GPU architecture and programming models. We use this to develop workflows and tools for deep performance analysis capabilities, which we leverage to develop and optimize GPU graphics and compute workloads specifically for Apple GPUs. The team works on machine learning, GPGPU, benchmarks, games, pro-apps, and image processing use cases, optimizing the workloads at both the algorithm, shader, and driver level to achieve speed-of-light performance. The team is seeking an engineer who will be responsible for helping to develop the technology which helps make Apple Silicon GPUs blazingly fast. The ideal candidate will have a passion for squeezing the best possible performance out of the GPU, and enjoys interacting with the low level details of the GPU architecture. Driving GPU performance analysis investigations across multiple domains and use cases including AI/ML, GPGPU, gaming, and rendering workloads Working with internal GPU

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