Amazon Software Dev Engineer Intern - ML Chip Architect Fall Annapurna 

United States, California, Cupertino 

595238462

"Utility Computing (UC)Key job responsibilities
As a member of the ML chip architecture team, you will be responsible for accelerating large-scale machine learning workloads holistically across algorithms, software, and hardware, as part of our continuous effort to deliver a world-class customer experience. You will be the interface between SW and HW teams, bridging the gap between silicon capabilities and application requirements. Finally, you will have a chance to drive performance improvements on existing AWS hardware platforms, as well as propose, evaluate, and develop hardware optimizations targeting future generations of our products.Internal job descriptionAbout the team
"Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Why AWS
Work/Life BalanceMentorship 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. "

- Currently working towards a Bachelor’s degree, or higher, in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related fields, with an expected conferral date between December 2025 and September 2027.
- Knowledge or past experience in computer architecture and silicon design.
- Experience with C++, Rust, or other programming languages, as well as with Python, or similar scripting language.