Amazon Software Dev Engineer Intern - AI/ML Summer 

United States, Washington, Bellevue 

605353525

Key job responsibilities
• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
• Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
• Participate in code reviews and contribute to technical documentation.
• Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
• Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
• Write clean, maintainable code following best practices and design patterns.
• Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
A day in the life
As an SDE intern with the AGI team, you will assist in developing modeling techniques and help optimize performance of large model training using NVIDIA GPUs. You will learn to work with Amazon's diverse data sources and computing resources while gaining hands-on experience with Large Language Models (LLMs) and other Generative AI applications. As part of our collaborative team, you'll contribute to ongoing projects and learn about system architecture and best practices in AI infrastructure development. You will work in an Agile/Scrum environment, participating in daily stand-ups and sprint planning while delivering quality code.

- Are 18 years of age or older
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience with AI/ML technologies
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields, with an expected graduation date after October 2026

- Previous technical internship(s) or demonstrated project experience
- Strong problem-solving and analytical skills
- Excellent written and verbal communication skills
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)