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 I, 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
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
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 starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
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
