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About the Role

Internship at Amazon offers real responsibility from day one, allowing you to build, test, and learn alongside supportive colleagues while making a significant impact. You will contribute to real production software, potentially working on areas like compiler development, ML runtimes, low-level systems software, or performance optimization for custom silicon.

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

Requirements

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
Bachelor's or Master's degree with a focus on systems, compilers, computer architecture, or high-performance computing
Experience with low-level or systems programming in C/C++ (memory management, concurrency, performance optimization)
Familiarity with compilers (MLIR, LLVM, TVM), ML runtimes, operating systems internals, or distributed systems
Exposure to machine learning frameworks and an understanding of how models run on hardware
Prior internship, research, or open-source contribution experience in systems, compilers, or ML infrastructure

Skills

C
C++
Python
Java
Data Structures
Algorithms
Software Design
Operating Systems
Computer Architecture
Systems Programming
Systems
Compilers
High-Performance Computing
Low-level programming
Memory Management
Concurrency
Performance Optimization
MLIR
LLVM
TVM
ML Runtimes
Operating Systems Internals
Distributed Systems
Machine Learning Frameworks
ML Infrastructure

Location

Austin, TX, USA
Cupertino, CA, USA
New York, NY, USA
Seattle, WA, USA

Work Type

Internship

Experience Level

Intern

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

128,700.00 USD Annually
148,100.00 USD Annually
141,600.00 USD Annually

Benefits

EAP
Mental Health Support
Medical Advice Line
401(k) matching

About the Company

Annapurna Labs designs custom silicon for Amazon, including server processors (Graviton), machine learning accelerators (Trainium and Inferentia), and the Nitro system. They own the full stack from silicon to the software that makes it work, including compilers, runtimes, drivers, and frameworks.

Equal Opportunity

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.