Software Development Engineer I, Annapurna Labs, Early Career - 2027

Amazon·New York·United States·Generalist Tech Internships / Programmes / Graduate Schemes

Amazon is hiring a Software Development Engineer I, Annapurna Labs, Early Career - 2027 in New York. Posted 2026-09-24; applications close 2026-11-23 (in 57 days).

Role details

Role: Software Development Engineer I Intern

At Amazon, our technology is your playground. Our engineers build scalable systems, cloud services, and customer-facing products that operate at a global scale. This is an environment where you learn by building. Whether you are creating cloud-native solutions, optimizing machine learning models, or building products that drive experiences for millions of customers globally, your work has a worldwide impact. You will take ownership early, collaborate across teams and disciplines, and grow your skills by tackling new challenges. Here, ambition meets opportunity, allowing you to explore different technical directions and shape your career journey.

What's in it for you?

An internship at Amazon offers real responsibility from day one. You will build, test, and learn alongside colleagues who are committed to your success, making an impact that extends far beyond the campus.

About the Team - Annapurna Labs

Annapurna Labs designs the custom silicon at Amazon, including Graviton (server processors), Trainium, Inferentia (ML training and inference accelerators), and the Nitro system that powers modern EC2. We own the full stack, from silicon design through the software that enables it—including compilers, runtimes, drivers, and the frameworks that allow customers to run workloads on our hardware. As a Software Development Engineer I, you will write the software that transforms custom silicon into products used by millions.

Potential Team Areas of Focus

Annapurna has software teams spanning the full stack, and we commit to placing you on a technical team aligned with your interests and strengths. Example 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 ensure your assignment matches your background and interests, guaranteeing you are working on a project you are genuinely excited about.

SDE I Responsibilities

As an SDE I intern, you will contribute to real production software, which may involve:

  • 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.

Qualifications

Basic 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.

Preferred Qualifications

  • 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++ (including memory management, concurrency, and 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 execute on hardware.
  • Prior internship, research, or open-source contribution experience in systems, compilers, or ML infrastructure.

Location and Compensation

Available locations and starting salary ranges:

  • Austin, TX, USA - $128,700.00 USD Annually
  • Cupertino, CA, USA - $148,100.00 USD Annually
  • New York, NY, USA - $141,600.00 USD Annually
  • Seattle, WA, USA - $128,700.00 USD Annually

Benefits Information: Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, and 401(k) matching. Learn more about our benefits here: https://hiring.amazon.com/why-amazon/benefits.

Legal Notice

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For Los Angeles County applicants: Job duties include working safely and cooperatively with others, adhering to standards of excellence under stress, communicating effectively, and following all laws and policies. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

If you require workplace accommodation or adjustment during the application or hiring process due to a disability, please visit: https://amazon.jobs/content/en/how-we-hire/accommodations.

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