Apple Neural Engine software team is dedicated to providing hardware acceleration using the Apple Neural Engine to enable real time, low power and high performance execution of Deep Learning workloads. The team develops compiler technology to accelerate deep learning applications for Apple products.
Requirements
- 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
- 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
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
Other
- Bachelor’s degree in Computer Science, Computer Engineering or equivalent and 3+ years relevant experience
- 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.
