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Machine Learning Compiler Engineer
2 months ago
We're seeking a talented Machine Learning Compiler Engineer to join our team at Apple Inc. and help design the next generation of revolutionary Apple products.
About the Role:
As a Machine Learning Compiler Engineer, you will be responsible for architecting and developing compiler technology to accelerate deep learning applications for Apple products. You will work closely with our platform architecture team to bring up new hardware silicon and add support in the compiler for these hardware features.
Key Responsibilities:
- 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.
Requirements:
- 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.
What We Offer:
- Comprehensive medical and dental coverage.
- Retirement benefits.
- A range of discounted products and free services.
- Reimbursement for certain educational expenses.
- Discretionary bonuses or commission payments.
- Relocation assistance.
Apple is an Equal Opportunity Employer:
We are 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.