AIE Sr. Software Development Compiler Engineer

Advanced Micro Devices, Inc•San Jose, CA

About The Position

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. AMD is looking for a motivated engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD AIE in Ryzen AI PC and embedded FPGA devices. The compiler needs to take a model in ONNX or PyTorch and produce optimized control and executable code for AIE VLIW processor array. Additionally, the compiler needs to handle partitioning between x86/embedded processor/FPGA fabric and AIE and generate code to interface with AMD AIE specific runtime and driver.

Requirements

  • Passionate about software development
  • Able to communicate effectively and work optimally with different teams across AMD

Nice To Haves

  • Strong object-oriented programming background, C/C++ and Python
  • ML Compiler and Runtime technologies such as MLIR, LLVM
  • Compiler building skills
  • Code generation for a ML hardware accelerator
  • Machine Learning concepts and model development experience
  • Understanding of ONNX, PyTorch, 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

Responsibilities

  • Integrate compiler and compiled model with ML Frameworks (such as ONNX and PyTorch)
  • Implement model partitioning in ML Frameworks and/or MLIR
  • Implement runtime to distribute work to and collect results from x86 cores and AIE cores
  • Design and develop new groundbreaking AMD technologies
  • Debug and fix existing issues and research alternative, more efficient ways to accomplish the same work

Benefits

  • AMD benefits at a glance
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service