SDE I Intern: Build Cloud, ML & High-Performance Systems

Amazon Inc.; Austin (TX); On-site; USD 129,000 - 148,000; Full time

Job summary

Amazon is seeking a Software Development Engineer I for Annapurna Labs in Austin, TX. You will design and implement scalable software across stacks, from low-level systems to compilers, runtimes and tooling. Expect to write code in C/C++/Python and optimize performance on Graviton, Trainium, and Inferentia.

You will join a team that values ownership, collaboration, and learning by building. The role focuses on production software with real impact across ML accelerators and cloud infrastructure.

Qualifications

• Bachelor's or Master's degree program in Computer Science, Computer Engineering, or a related field, with a final graduation date of May 2027 or later
• Programming experience in at least one modern language such as C, C++, Java, or Python
• Coursework or project experience in data structures, algorithms, and software design
• Understanding of core computer science fundamentals: operating systems, computer architecture, or systems programming

Responsibilities

• Designing, implementing, and testing software across the stack - from low-level systems code to compilers, runtimes, and tooling
• Writing efficient, maintainable code in languages such as C, C++, or Python
• Optimizing software performance on custom hardware (Graviton, Trainium, Inferentia)
• Debugging complex issues across the hardware-software boundary
• Collaborating with hardware, compiler, and systems teams to deliver features end-to-end
• Documenting your work and presenting results to the team

Skills

C

C++

Java

Python

Education

CS/CE degree

Tools

MLIR

LLVM

TVM

PyTorch

TensorFlow

Job description

Amazon is seeking a Software Development Engineer I for Annapurna Labs in Austin, TX. You will design and implement scalable software across stacks, from low-level systems to compilers, runtimes and tooling. Expect to write code in C/C++/Python and optimize performance on Graviton, Trainium, and Inferentia.

You will join a team that values ownership, collaboration, and learning by building. The role focuses on production software with real impact across ML accelerators and cloud infrastructure.