Machine Learning Compiler Engineer

We live in a mobile and device-driven world where Deep Learning technology enables a new class of applications.Are you passionate about enabling unique user experiences on Apple products;

such as Apple Vision Pro, iPhone, iPad, Apple Watch and the Mac? Imagine the countless possibilities powered by Artificial Intelligence!In the Video Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads.

Our success is the result of very dynamic people working in an environment which cultivates creativity, partnership and cross-functional collaboration.

These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives!Will 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 and mentor engineers

Key Qualifications

• Passion for developing and optimizing compilers for modern architectures
• Working knowledge of compiler architecture, front-end and middle-end optimizations, scheduling, register allocation, and back-end code generation
• Experience with neural networks inference on dedicated SOC, GPU, CPU or DSP
• High level C++ programming expertise
• Experience working in a large and complex software stack with a proven track record of building high quality production software
• Excellent problem solving and debugging skills
• Excellent communication and collaboration skills

Education & Experience

BS and a minimum of 10 years relevant industry experience

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 $175,800 and $312,200, 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.

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.

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