Senior Compiler Engineer - Deep Learning Compiler Stack

The AWS Neuron Compiler team is seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI.

Key job responsibilities:

• Develop and maintain tooling for raising the bar of the Neuron Compiler's accuracy and reliability
• Lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler
• Work in a team with a science focus, striving to push the boundaries of what is known in order to best deliver for our customers

Basic qualifications:

• 3+ years of leading design or architecture of new and existing systems experience
• 2+ years of experience in developing compiler features and optimizations
• Proficiency in C++ and Python programming, applied to compiler or verification projects
• Familiarity with LLVM, including knowledge of abstract interpretation and polyhedral domains
• Demonstrated scientific approach to software engineering problems

Preferred qualifications:

• Masters degree or PhD in computer science or equivalent
• Experience with deep learning frameworks like TensorFlow or PyTorch
• Understanding of large language model (LLM) training processes
• Knowledge of CUDA programming for GPU acceleration