Machine Learning Compiler Engineer

Apple

3.7

(120)

Sunnyvale, CA

Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.
  • #200587481

    Position summary

    ll you help us design the next generation of revolutionary Apple Products?

    Description

    We develop compiler technology to accelerate deep learning applications for Apple products. In this role, you will be empowered to: - Architect and develop the compiler for Apple proprietary Neural Engine Accelerator architecture, to enable inference of deep learning networks onto this architecture with an emphasis on performance and power - Bring up new hardware silicon and add support in the compiler for these hardware features - Work on bringing the compiler code to production quality and enable a wide range of applications of deep learning technology for internal clients and 3rd party developers - Evaluate existing hardware blocks and work closely with the platform architecture team on the definition of new hardware features, and hardware specification review - Work with the micro-architecture design team to understand the functional and performance goals of the design - Architect and lead complex compiler features

    Minimum Qualifications

    • In-depth working knowledge of compiler architecture, front-end and middle-end optimizations, scheduling, register allocation, back-end code generation

    • Experience with IR and/or programming language design, esp. experience with MLIR and LLVM

    • High level C++ programming expertise and experience working in a large and complex software stack with a consistent track record of building high quality production software

    • Bachelor's degree in Computer Science, Computer Engineering or equivalent and 3+ years relevant experience

    Preferred Qualifications

    • Experience with compiling for distributed and parallel execution environment including distributed execution, shared memory, synchronization, etc.

    • Experience with neural networks inference on dedicated SoC or GPU is highly desired

    • Understanding of JIT techniques for dynamic optimization and execution of code

    • Ability to analyze and optimize program execution paths

    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.

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

    More

    • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.

    Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.