Job Description
Join Amazon's Annapurna ML team as a Software Development Engineer Intern focusing on ML Chip Architecture. This internship offers a unique opportunity to work on cutting-edge machine learning technologies and contribute to the development of Amazon's cloud computing infrastructure.
Key Responsibilities
- Accelerate large-scale machine learning workloads across algorithms, software, and hardware.
- Serve as the interface between software and hardware teams, bridging silicon capabilities and application requirements.
- Drive performance improvements on existing AWS hardware platforms and propose hardware optimizations for future products.
Qualifications
Basic Qualifications
- Currently pursuing a Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or related fields.
- Knowledge or experience in computer architecture and silicon design.
- Proficiency in programming languages such as C++, Rust, or Python.
Preferred Qualifications
- Familiarity with machine learning applications and performance tuning on accelerators like GPUs or TPUs.
- Experience with RTL coding using Verilog or SystemVerilog.
- Strong critical thinking skills and the ability to communicate effectively.
About the Team
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We value diverse experiences and encourage candidates from all backgrounds to apply. Our team is committed to fostering an inclusive culture and providing mentorship and career growth opportunities.
Why Join Us?
- Work/Life Balance: Flexible work hours and arrangements.
- Inclusive Team Culture: Participate in employee-led affinity groups and diversity conferences.
- Mentorship and Career Growth: Access to endless knowledge-sharing and career-advancing resources.
Compensation
- Hourly rate ranges from $47.84 to $96.15, depending on location and experience.
This position is based in Seattle, WA, and offers a dynamic and fast-paced work environment where you can grow and make a significant impact. If you are passionate about machine learning and chip architecture, we encourage you to apply and help us build the future of cloud computing.
Benefits Extracted with AI
- Flexible work hours
- Mentorship and career growth
- Inclusive team culture
- Work-life balance
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