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 for optimizing application models across diverse domains.
Your role will involve working with custom-built Machine Learning accelerators, including Inferentia / Trainium, to power solutions like Generative AI.
Key job responsibilities :
- Develop and maintain tooling for 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 to push the boundaries of what is known in delivering solutions to customers
Strong software development skills using C++ / Python are crucial. A science background in compiler development is strongly preferred, and experience in Machine Learning and AI accelerators is a plus.
The role is located in Seattle, Cupertino, Austin, or Toronto.
BASIC QUALIFICATIONS :
- 6+ 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
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