Advanced Micro Devices, Inc.
Principal Machine Learning Compiler Engineer
Advanced Micro Devices, Inc., 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 compilerIntegrate compiler and compiled model with ML Frameworks (such as PyTorch and Tensorflow)Implement model partitioning in ML Frameworks and/or MLIRImplement runtime to distribute work to and collect results from x86 cores and the array of AIE coresMentor and provide guidance to othersLearn latest industry trends and bring new ideas to the teamDesign and develop new groundbreaking AMD technologiesDebugging/fix existing issues and research alternative, more efficient ways to accomplish the same workDevelop technical relationships with peers and partnersPREFERRED EXPERIENCE:Strong object-oriented programming background, C/C++ and PythonML Compiler and Runtime technologies: OneDNN, MLIR, XLA, OpenXLA, IREE, OpenAI Triton compilerCompiler building skillsCode generation for a ML hardware acceleratorGPU code generationMachine Learning concepts and model development experienceUnderstanding of PyTorch, Tensorflow, ONNX, JAX etc.Ability to write high quality code with a keen attention to detailExperience with modern concurrent programming and threading APIsExperience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plusEffective communication and problem-solving skillsMotivating leader with good interpersonal skillsPREFERRED ACADEMIC CREDENTIALS:Bachelor's, Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent#LI-G11#LI-HYBRIDAMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail
here .
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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 compilerIntegrate compiler and compiled model with ML Frameworks (such as PyTorch and Tensorflow)Implement model partitioning in ML Frameworks and/or MLIRImplement runtime to distribute work to and collect results from x86 cores and the array of AIE coresMentor and provide guidance to othersLearn latest industry trends and bring new ideas to the teamDesign and develop new groundbreaking AMD technologiesDebugging/fix existing issues and research alternative, more efficient ways to accomplish the same workDevelop technical relationships with peers and partnersPREFERRED EXPERIENCE:Strong object-oriented programming background, C/C++ and PythonML Compiler and Runtime technologies: OneDNN, MLIR, XLA, OpenXLA, IREE, OpenAI Triton compilerCompiler building skillsCode generation for a ML hardware acceleratorGPU code generationMachine Learning concepts and model development experienceUnderstanding of PyTorch, Tensorflow, ONNX, JAX etc.Ability to write high quality code with a keen attention to detailExperience with modern concurrent programming and threading APIsExperience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plusEffective communication and problem-solving skillsMotivating leader with good interpersonal skillsPREFERRED ACADEMIC CREDENTIALS:Bachelor's, Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent#LI-G11#LI-HYBRIDAMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail
here .
#J-18808-Ljbffr