Amazon Machine Learning Chip Architect Annapurna Labs 

United States, California, Cupertino 

864457413

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 description

Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related fields.Graduation date between May 2023 - December 2025.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.

Familiarity or experience with machine learning applications and performance tuning on accelerators such as GPUs, TPUs, or similar.Familiarity or experience with RTL coding using Verilog, SystemVerilog, or similar language.Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form.