About the job
We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize the latest models to run really fast on the Trainium hardware.
As a Software Development Engineer on the Inference Model Enablement team, you will onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation.
Responsibilities
* Deliver high-performance models using distributed inference libraries
* Drive technical excellence in performance optimization and system reliability across the Neuron ecosystem
* Mentor team members and provide technical leadership across multiple work streams
* Drive architectural decisions that impact the entire Neuron serving stack
* Collaborate with customers, product owners, and engineering teams to define technical strategy
* Author technical documentation, design proposals, and architectural guidelines
Qualifications
Minimum
- 5+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 5+ years of non-internship professional software development experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred
- Master's degree in computer science or equivalent
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution