Software Development Engineer Intern, Annapurna Labs - 2027

At Amazon, our tech isn't just a tool, it's 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 you're 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. You'll take ownership early, collaborate across teams and disciplines, and grow your skills as you tackle new problems. There's 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.

What's in it for you? An internship at Amazon means real responsibility from day one. You'll 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, you'll 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 you're genuinely excited to work on.

As an SDE Intern, you'll 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
You'll 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.

Basic Qualifications

- Currently enrolled in a Bachelor's or Master's 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

Preferred Qualifications

- 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 Company’s 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 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.

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 https://amazon.jobs/en/benefits.

USA, CA, Cupertino - 127,100.00 - 185,000.00 USD annually
USA, NY, New York - 121,600.00 - 180,600.00 USD annually
USA, TX, Austin - 110,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually