Neuron Compiler Software Engineer
1 month ago
At Amazon, we're committed to making deep learning accessible to everyone. Our innovative software and hardware solutions, including AWS Neuron, are designed to accelerate deep-learning workloads and make it possible for developers to build and deploy AI models with ease.
About the Role
We're seeking a talented Compiler Engineer to join our Neuron team. As a key member of our team, you'll be responsible for developing and optimizing the compiler for AWS Inferentia and Trainium, our custom Silicon ML accelerators. This is an exciting opportunity to work on a cutting-edge product and contribute to the development of a compiler that will shape the future of deep learning.
Responsibilities
- Design and develop a compiler that optimizes the performance of complex neural net models executed on AWS Inferentia and Trainium.
- Collaborate with our team to integrate the compiler with Tensorflow, PyTorch, and MXNet.
- Work with our customers to understand their deep learning workloads and develop solutions to optimize their performance.
- Contribute to the development of our compiler and run-time, and participate in code reviews to ensure high-quality code.
Requirements
- Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design.
- Currently enrolled in a Bachelor's degree program or higher majoring in Computer Science, Computer Engineering, Electrical Engineering or related technical field with anticipated graduation date of May 2025 or later.
- Strong interests and academic qualifications/research focus in two of the following: 1. Knowledge of code generation, compute graph optimization, resource scheduling, 2. Data structure and algorithms, 3. Compiler - Optimizing compilers (internals of LLVM, clang, etc), 4. Machine Learning - Experience with XLA, TVM, MLIR, LLVM, 5. Machine Learning frameworks (PyTorch, JAX) and Machine Learning models.
- Available for 3-month internship starting January 2025.
Preferred Qualifications
- Previous technical internship(s).
- Knowledge of code generation, compute graph optimization, resource scheduling.
- Experience in optimization mathematics such as linear programming and nonlinear optimization.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
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