GPU ML Engineer

Apple Inc.

Cupertino (CA)

On-site

USD 150,400 - 277,600

Full time

14 days+

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Benefits offered by this job

Medical & dental
Retirement benefits
Employee stock programs
Tuition reimbursement
Relocation assistance

Job summary

Apple Inc. in Cupertino, CA, is seeking extraordinary machine learning and GPU programming engineers to deliver robust compute solutions on Apple Silicon. You will contributes to optimized kernels, ML workflows, and high-performance GPU architectures across iOS, macOS and Apple TV.

The role emphasizes collaboration with architecture teams, API work in Metal, and kernel-level tuning to maximize performance across Apple devices. A strong foundation in parallel GPU programming is essential.

Qualifications

  • BS/MS degree or equivalent experience required.
  • 2+ years of hands-on experience in GPU compute kernel development and optimization.
  • Experience with high performance parallel programming and GPU programming across compute platforms.

Responsibilities

  • Implement optimized GPU kernels for ML, image processing, linear algebra, and computer vision tasks.
  • Define and implement APIs in Metal Performance Shaders.
  • Conduct in-depth performance analysis and kernel-level optimizations for Apple hardware.
  • Collaborate with Platform Architecture to influence compute hardware roadmaps for Apple Silicon.

Skills

GPU compute kernel
Parallel programming
System programming
Computer architecture
GPU programming

Education

BS/MS degree or equivalent

Job description

Cupertino, California, United States Software and Services

Apple’s Compute Frameworks team in GPU, Graphics and Displays org provides a suite of high-performance data parallel algorithms for developers inside and outside of Apple for iOS, macOS and Apple TV. Our efforts are currently focused in the key areas of linear algebra, image processing, machine learning, along with other projects of key interest to Apple. We are always looking for exceptionally dedicated individuals to grow our outstanding team.

Description

Our team is seeking extraordinary machine learning and GPU programming engineers who are passionate about providing robust compute solutions for accelerating machine learning networks on Apple Silicon.Role has the opportunity to influence the design of compute and programming models in next generation GPU architectures.

Responsibilities
  • Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.
  • Defining and implementing APIs in Metal Performance Shaders.
  • Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.
  • Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon
  • Tune GPU-accelerated compute across products.
Minimum Qualifications
  • Technical BS/MS degree and Equivalent experience.
  • 2 plus years of experience
  • GPU compute kernel framework development, maintenance, and optimization.
  • Experience with system level programming and computer architecture.
  • Experience with high performance parallel programming, GPU programming experience
Preferred Qualifications
  • Excellent programming and problem-solving skills.
  • Good understanding of machine learning fundamentals.
  • Background in mathematics, including linear algebra and numerical methods is a plus.
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 $150,400 and $277,600, 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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

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