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Apple Machine Learning Compiler Engineer United States, Washington, Seattle 48058170
06.06.2024
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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
Key Qualifications
- Passion for developing and optimizing compilers for modern architectures
- Project experience related to Machine Learning compiler development
- Experience with neural networks inference on dedicated SOC, GPU, CPU or DSP
- High level C++ programming expertise
- Excellent problem solving and debugging skills
- Excellent communication and collaboration skills
Education & Experience
BS and a minimum of 3 years relevant industry experience
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 $131,500 and $243,300, and your base pay will depend on your skills, qualifications, experience, and location.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.
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