Amazon Web Services (AWS) internships are full-time (40 hours/week) for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.
We are on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
Are you a student interested in computer architecture, machine learning, performance optimization, or application-specific silicon design? We are looking for engineers capable of using a variety of domain expertise to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment.
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.
If this sounds exciting to you - come build the future with us!
BASIC QUALIFICATIONS
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.
PREFERRED QUALIFICATIONS
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.
Technical fluency; comfort in understanding and discussing architectural concepts and algorithms, schedule tradeoffs, and new opportunities with technical team members.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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