Advanced Micro Devices
Principal Machine Learning Compiler Engineer
Advanced Micro Devices, San Jose, California, United States, 95199
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
THE ROLE:AMD is looking for a skilled and experienced engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD Inference Accelerator AIE hardware devices. The compiler needs to take a model written in PyTorch, TensorFlow, ONNX or JAX and produce optimized control and executable code for AIE VLIW processor array. Additionally, the compiler needs to handle partitioning between x86 and hardware accelerator, generate optimal code for AMD x86 CPU using AMD ZenDNN, and generate code to interface with AMD AIE specific runtime and driver.
THE PERSON:The ideal candidate should be passionate about implementing and improving effective algorithms and techniques to create and enhance compiler and runtime for machine learning and possess leadership skills to drive sophisticated issues to resolution. The candidate should be able to communicate effectively and work optimally with different teams across AMD.
KEY RESPONSIBILITIES:
Implement and improve passes in the compiler
Integrate compiler and compiled model with ML Frameworks (such as PyTorch and TensorFlow)
Implement model partitioning in ML Frameworks and/or MLIR
Implement runtime to distribute work to and collect results from x86 cores and the array of AIE cores
Mentor and provide guidance to others
Learn latest industry trends and bring new ideas to the team
Design and develop new groundbreaking AMD technologies
Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
Develop technical relationships with peers and partners
PREFERRED EXPERIENCE:
Strong object-oriented programming background, C/C++ and Python
ML Compiler and Runtime technologies: OneDNN, MLIR, XLA, OpenXLA, IREE, OpenAI Triton compiler
Compiler building skills
Code generation for a ML hardware accelerator
GPU code generation
Machine Learning concepts and model development experience
Understanding of PyTorch, TensorFlow, ONNX, JAX etc.
Ability to write high quality code with a keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus
Effective communication and problem-solving skills
Motivating leader with good interpersonal skills
PREFERRED ACADEMIC CREDENTIALS:
Bachelor’s, Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
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We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
THE ROLE:AMD is looking for a skilled and experienced engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD Inference Accelerator AIE hardware devices. The compiler needs to take a model written in PyTorch, TensorFlow, ONNX or JAX and produce optimized control and executable code for AIE VLIW processor array. Additionally, the compiler needs to handle partitioning between x86 and hardware accelerator, generate optimal code for AMD x86 CPU using AMD ZenDNN, and generate code to interface with AMD AIE specific runtime and driver.
THE PERSON:The ideal candidate should be passionate about implementing and improving effective algorithms and techniques to create and enhance compiler and runtime for machine learning and possess leadership skills to drive sophisticated issues to resolution. The candidate should be able to communicate effectively and work optimally with different teams across AMD.
KEY RESPONSIBILITIES:
Implement and improve passes in the compiler
Integrate compiler and compiled model with ML Frameworks (such as PyTorch and TensorFlow)
Implement model partitioning in ML Frameworks and/or MLIR
Implement runtime to distribute work to and collect results from x86 cores and the array of AIE cores
Mentor and provide guidance to others
Learn latest industry trends and bring new ideas to the team
Design and develop new groundbreaking AMD technologies
Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
Develop technical relationships with peers and partners
PREFERRED EXPERIENCE:
Strong object-oriented programming background, C/C++ and Python
ML Compiler and Runtime technologies: OneDNN, MLIR, XLA, OpenXLA, IREE, OpenAI Triton compiler
Compiler building skills
Code generation for a ML hardware accelerator
GPU code generation
Machine Learning concepts and model development experience
Understanding of PyTorch, TensorFlow, ONNX, JAX etc.
Ability to write high quality code with a keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus
Effective communication and problem-solving skills
Motivating leader with good interpersonal skills
PREFERRED ACADEMIC CREDENTIALS:
Bachelor’s, Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
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