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Senior Machine Learning Compiler Engineer
2 months ago
We are seeking a highly skilled and experienced Machine Learning Compiler Engineer to join our team at Advanced Micro Devices, Inc. As a key member of our core team, you will be responsible for developing a cutting-edge machine learning model compiler targeting AMD Inference Accelerator AIE hardware devices.
Key Responsibilities- Implement and improve passes in the compiler to optimize performance and efficiency.
- Integrate the compiler and compiled model with popular machine learning frameworks such as PyTorch and TensorFlow.
- Implement model partitioning in machine learning frameworks and/or MLIR to ensure seamless integration with AMD hardware.
- Design and develop a runtime to distribute work to and collect results from x86 cores and the array of AIE cores.
- Mentor and provide guidance to junior team members to ensure knowledge sharing and skill development.
- Stay up-to-date with the latest industry trends and bring new ideas to the team to drive innovation.
- Collaborate with cross-functional teams to design and develop new groundbreaking AMD technologies.
- Debug and fix existing issues, and research alternative, more efficient ways to accomplish the same work.
- Develop technical relationships with peers and partners to drive business growth and success.
- Strong object-oriented programming background, with expertise in C/C++ and Python.
- Experience with machine learning compiler and runtime technologies, including OneDNN, MLIR, XLA, OpenXLA, IREE, and OpenAI Triton compiler.
- Compiler building skills, with a focus on code generation for machine learning hardware accelerators.
- Experience with GPU code generation and machine learning concepts and model development.
- Understanding of popular machine learning frameworks, including PyTorch, TensorFlow, ONNX, and JAX.
- Ability to write high-quality code with a keen attention to detail, and experience with modern concurrent programming and threading APIs.
- Experience with software development processes and tools, including debuggers, source code control systems, and profilers.
- Effective communication and problem-solving skills, with the ability to motivate and lead a team.
- Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.