2026 Applied Science Internship Distributed Systems and High Performance Computing

Calling all innovative tech enthusiasts! Join our cutting-edge team and dive into the world of distributed systems and high-performance computing. Youll have the opportunity to work on groundbreaking technologies that push the boundaries of computational science solving complex challenges that have real-world impact.

Are you passionate about creating scalable sustainable computing systems that can power the worlds most complex technological challenges Were seeking innovative graduate researchers to push the boundaries of distributed systems and high-performance computing.

We work across multiple Amazon businesses including Annapurna Labs S3 EC2 and other critical infrastructure teams though our research is not limited to these organizations. Our teams are committed to pushing the boundaries of distributed systems and high-performance computing creating solutions that transform how we process and understand complex data


Key job responsibilities
Collaborate with senior researchers to design and implement distributed computing solutions.
Design and prototype novel distributed computing architectures that enhance system performance and reliability
Conduct advanced research on scalable fault-tolerant systems for data center and serverless environments


An ideal candidate for this role should possess a robust foundation in distributed systems network architecture or high-performance computing. The candidate should have hands-on experience with designing implementing and optimizing distributed algorithms scalable network protocols or parallel computing frameworks. Additionally they must demonstrate the ability to work seamlessly within interdisciplinary teams bringing together expertise from various domains such as software engineering data science and hardware architecture. This collaborative mindset is essential for developing innovative solutions that push the boundaries of cloud computing technology.


A day in the life
Your internship will be an immersive journey into advanced computational research. Youll collaborate with world-class scientists and engineers exploring innovative approaches to solving complex computational problems. Expect to engage in hands-on projects that challenge your technical skills and spark your creativity.

- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based

- Experience programming or scripting language like Python Java C or C
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.