Embedded Systems Software Intern — Build at Scale

Amazon Inc.; Los Angeles (CA); On-site; USD 109,000 - 119,000; Full time

Benefits offered by this job

EAP and Mental Health Support

401(k) matching

Career development programs

Job summary

Amazon.com Services LLC in Los Angeles-area locations seeks an SDE intern to design, build, and operate scalable services. You will work with cross-disciplinary Amazonians, own features end-to-end, and contribute to AI-assisted development while delivering high-quality code and documentation.

You will be matched with a manager and mentor, gaining hands-on experience with cloud platforms, data-driven projects, and a fast-paced engineering culture that values ownership and learning.

Qualifications

• Enrolled in Bachelor's degree or above in CS, CE, DS, or related STEM fields.
• Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript.
• Experience using AI-assisted development tools in academic or professional settings.
• Available for 12 weeks, full-time, 40 hours/week and starting Day 1.

Responsibilities

• Collaborate with cross-disciplinary teams to design, build, and operate innovative products and services.
• Break down complex problems into well-defined components and implement solutions.
• Contribute to scalable, reliable services with distributed-systems scope.
• Participate in code reviews and provide constructive feedback, including for AI-generated code.
• Write clear technical documentation and use GenAI responsibly to augment development.

Skills

Java

Python

C++

Go

TypeScript

Education

Bachelor's degree or above in Computer Science / Computer Engineering / Data Science

Tools

AWS

Git

CI/CD tools

Job description

Amazon.com Services LLC in Los Angeles-area locations seeks an SDE intern to design, build, and operate scalable services. You will work with cross-disciplinary Amazonians, own features end-to-end, and contribute to AI-assisted development while delivering high-quality code and documentation.

You will be matched with a manager and mentor, gaining hands-on experience with cloud platforms, data-driven projects, and a fast-paced engineering culture that values ownership and learning.