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Amazon Sr Software Engineer- AI/ML AWS Neuron Apps 
United States, Washington, Seattle 
66286253

16.09.2024
DESCRIPTION

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine
The ML Apps team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trn1. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.*Utility Computing (UC)*
Key job responsibilities
About the team
**Why AWS
**Diverse Experiences**
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.**Work/Life Balance* *
**Inclusive Team Culture* *
**Mentorship and Career Growth**
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

- 5+ years of programming with at least one software programming language 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


PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent