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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
- 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 2026.
- 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.
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