Job Details

Job Information

GPU Machine Learning Developer Tools Engineer
AWM-8325-GPU Machine Learning Developer Tools Engineer
6/5/2025
6/10/2025
Negotiable
Permanent

Other Information

www.apple.com
Cupertino, CA, 95015, USA
Cupertino
California
United States
95015

Job Description

No Video Available
 

GPU Machine Learning Developer Tools Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Jun 02, 2025

Weekly Hours: 40

Role Number: 200607354

Apple’s Graphics, Games, and Machine Learning Software team develops Metal, an API for GPU programming that allows efficient use of the GPU and minimizes CPU overhead. The Metal Developer Tools team is responsible for developing
* Metal Debugger – a full featured GPU debugger and profiler,
* Metal System Trace – a CPU and GPU runtime analysis tool for Metal,
* MPS Graph viewer – a highly performant visualizer for ML networks.
The Metal Developer Tools team is looking for an engineer who is excited to shape the future of developer tools for debugging ML networks. The ideal candidate will have a passion for creating the best possible visualizations and analysis tools for machine learning, and have a strong background in debugging and optimizing networks for on-device inference.

Description

In this role, you'll be responsible for developing new workflows and analysis tools that help machine learning, graphics, and pro app developers debug and optimize their networks for on-device inference for the entire gamut of Apple Silicon SoCs.
Building on a strong foundation of computer architecture and operating system fundamentals, data structure and algorithms, you'll write highly efficient code to analyze large models, then creatively design intuitive workflows and visualizations for finding and addressing numerical inaccuracies, performance bottlenecks or other issues.
You will be working closely and collaboratively with partners across both software and hardware teams to fully realize the capabilities of Apple's best in class GPUs.

Minimum Qualifications

  • Technical BS/MS degree / Equivalent Experience.

  • Technical expertise in Machine Learning inference using frameworks such as MPS Graph, CoreML, PyTorch, TensorFlow, Keras etc.

  • Excellent programming skills and UI frameworks such as SwiftUI, UIKit, AppKit, Qt etc.

Preferred Qualifications

  • Technical expertise in Swift

  • Experience with designing intuitive UI/UX

  • Experience developing on-device ML analysis and profiling tools

  • Experience with GPU APIs such as Metal, Direct3D, Vulkan or OpenGL

  • Technical expertise in the area of GPU performance optimizations or GPU architecture

  • Bonus points for C/C+ 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 $143,100 and $264,200, 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. (https://www.apple.com/careers/us/benefits.html)

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

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, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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, or other legally protected characteristics.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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