Software Development Engineer Intern, Annapurna Labs 2027

At Amazon our tech isnt just a tool its your playground. Our engineers work on scalable systems cloud services and customer-facing products that operate at global scale. This is an environment where you learn by building. Whether youre creating cloud-native solutions optimizing machine learning models or building products that drive experiences for millions of customers around the globe your work reaches the world fast. Youll take ownership early collaborate across teams and disciplines and grow your skills as you tackle new problems. Theres no single path forward here with a chance to explore different directions and shape your journey as you go. This is where ambition meets opportunity and where the impact of what you build helps define what comes next for customers and for you.

Whats in it for you An internship at Amazon means real responsibility from day one. Youll build test and learn alongside people who want to see you succeed while making an impact that reaches far beyond campus.

About the team
Annapurna Labs designs the custom silicon at Amazon - including Graviton (our server processors) Trainium and Inferentia (our machine learning training and inference accelerators) and the Nitro system that powers modern EC2. We own the full stack from silicon through the software that makes it work (compilers runtimes drivers and the frameworks that let customers run workloads on our hardware). As a Software Development Engineer Intern youll write the software that turns custom silicon into products used by millions.

Where you might land:
Annapurna has software teams spanning the full stack and we work to place you on a technical team aligned with your interests and strengths. Example teams and focus areas include:

- Compiler development for ML accelerators (Neuron SDK MLIR LLVM)
- ML runtimes and frameworks (integration with PyTorch JAX TensorFlow)
- Low-level systems software firmware and device drivers
- Performance optimization and kernel development for custom silicon
- Distributed training and inference infrastructure
Once you join we partner with you and our hiring managers to match you to a team where your background and interests fit best so your project is something youre genuinely excited to work on.

As an SDE Intern youll contribute to real production software which may include:

- 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
Youll be paired with a mentor and manager who will scope your project support your growth and set you up to deliver meaningful measurable impact by the end of your internship.

- Currently enrolled in a Bachelors or Masters degree program in Computer Science Computer Engineering or a related field with a final graduation date of December 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

- Experience working in a Linux/Unix environment
- Experience working with fast-moving high-performance teams and driving innovative solutions tailored to unique business environments
- Can show strong verbal and written communication skills
- Pursuing a 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

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: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Cupertino - 127100.00 - 185000.00 USD annually
USA NY New York - 121600.00 - 180600.00 USD annually
USA TX Austin - 110500.00 - 160000.00 USD annually
USA WA Seattle - 110500.00 - 160000.00 USD annually