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Senior Deep Learning Compiler Specialist
hace 1 mes
About the Role
The AWS Neuron Compiler team is looking for a skilled compiler engineer 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, from leading frameworks like PyTorch, TensorFlow, and JAX.
As a ML Compiler engineer, you'll work closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, to design, develop, and optimize features for our compiler. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in compiler technology and deep-learning systems software.
Responsibilities
- Design, implement, test, deploy, and maintain innovative software solutions to transform service performance, durability, cost, and security.
- Research implementations that deliver the best possible experiences for customers.
- Solve challenging technical problems at every layer of the stack.
Requirements
- B.S. or M.S. in computer science or related field
- Proficiency with 1 or more of the following programming languages: C++ (preferred), Python
- 3+ years of non-internship professional software development experience
- 2+ years of experience developing compiler optimization, graph-theory, hardware bring-up, FPGA placement and routing algorithms, or hardware resource management
