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Apple hiring GPU ML Engineer, Cupertino, California

GPU ML Engineer

Apple

Cupertino, California
Posted yesterday

Qualifications

Education

Technical BS/MS degree and equivalent experience.

Responsibilities

Primary Duties

  • 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.

Experience Requirements

Required

2 plus years of experience.

2 years of experience

Benefits & Perks

Benefits Package

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses including tuition

Required Skills

Technical Skills

GPU compute kernel framework developmentMaintenance and optimizationSystem level programmingComputer architectureHigh performance parallel programmingGPU programming

Soft Skills

Excellent programming and problem-solving skills.Strong communication skills.Strong collaboration skills.

Full Job Description

GPU ML Engineer

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.

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.
  • Strong communication skills.
  • Strong collaboration 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 $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. Learn about reasonable accommodations for job applicants. Apple accepts applications to this posting on an ongoing basis.

How to Apply

Estimated Salary

$136
/ hour

Apple pays $136 for Software Engineer in Cupertino, California, with most salaries ranging from $92 to $209. Pay can vary based on role, experience, and local cost of living.

Median
$136
Low
$92
High
$209

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Figures represent approximate ranges and may vary based on experience, location, and other factors. For the most accurate information, please consult the employer directly. Contact us to suggest updates to this information.