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GPU ML Engineer

Develop high-performance GPU kernels to accelerate machine learning on Apple Silicon
Cupertino, California, United States
Senior
$147,400 – 272,100 USD / year
yesterday
Apple

Apple

A multinational technology company known for its consumer electronics, software, and online services, including the iPhone, iPad, and Mac computers.

GPU ML Engineer

Apple's Compute Frameworks team in Graphics, Games and Machine Learning 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.

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.
  • 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.

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 $147,400 and $272,100, 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.

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.

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GPU ML Engineer
Cupertino, California, United States
$147,400 – 272,100 USD / year
Engineering
About Apple
A multinational technology company known for its consumer electronics, software, and online services, including the iPhone, iPad, and Mac computers.