Software Dev Engineer Intern - Machine Learning Chip Architect, Annapurna Labs

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!
Internal job description
This requisition is for external candidates or campus employee referrals only, and is not eligible for internal transfers.
Due to the volume of referrals and external applicants received, ECT team is unable to provide status updates on individual applicants. Please help us in setting expectations with our candidates and encourage them to reference their application portal for the most up to date information on their application.

We are open to hiring candidates to work out of one of the following locations:

Cupertino, CA, USA

Basic Qualifications

• 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 2024 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.

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $42.50/hr in our lowest geographic market up to $96.15/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.