Machine Learning Compiler Architect
Machine Learning Compiler Architect
Posted on :
02-08-2025
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1 Vacancy
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Monthly Salary
USD 212000 - 386300
Vacancy
1 Vacancy
Posted on :
02-08-2025
Job Description
We develop compiler technology to accelerate deep learning applications for Apple 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
- 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
- Bachelors degree in Computer Science Computer Engineering or equivalent and a minimum of 20 years of relevant industry experience
- 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
Employment Type
Full Time
Key Skills
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