AWS Neuron Vision Compiler Software Engineer Intern
2 weeks ago
AWS Neuron SDK: Optimizes performance of complex neural net models executed on AWS Inferentia and Trainium, custom chips designed to accelerate deep-learning workloads. It consists of a compiler, run-time, and debugger integrated with Tensorflow, PyTorch, and MXNet, preinstalled in AWS Deep Learning AMIs and Deep Learning Containers.
About the Role: As a compiler engineer, you'll support the development of a compiler targeting AWS Inferentia and Trainium. Implement business-critical features and be mentored by a brilliant team of experienced engineers.
Key Responsibilities:
• Experience with at least one modern language (Java, Python, C++, C#) including object-oriented design
• Currently enrolled in a Bachelor's degree program or higher in Computer Science, Computer Engineering, Electrical Engineering, or related technical field
• Strong interests and academic qualifications/research focus in two of the following:
• Knowledge of code generation, compute graph optimization, resource scheduling
• Data structure and algorithms
• Compiler - Optimizing compilers (internals of LLVM, clang, etc)
• Machine Learning - Experience with XLA, TVM, MLIR, LLVM
• Machine Learning frameworks (PyTorch, JAX) and Machine Learning models
• Available for 12-month internship
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's Commitment: Amazon is committed to a diverse and inclusive workplace and is an equal opportunity employer.
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