Sr. SDE, EC2 Nitro Networking

We’re at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2026. To achieve our ambitious goals, we’re expanding our team and looking for talented engineers like you to be part of this journey.

You will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale.

As a Sr. SDE on this team, you will own defining, implementing, and delivering performance and availability optimizations that power Machine Learning workloads across HPC and Accelerated Platforms in EC2 Nitro.

We are seeking a Sr. Software Engineer with experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking to join our team. This role will allow you to influence and impact multiple technology areas, providing an opportunity to innovate across a variety of platforms and systems.

With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to grow your skills and knowledge.

Key job responsibilities
- Lead the end-to-end design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads.
- You set high standards for development processes, tools, and automation to enhance team productivity and quality.
- Own the team architecture and define best engineering practices on design and coding.
- You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams.
- Mentor junior engineers with scoping, design, and developing scalable and maintainable code.
- Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions.

Basic Qualifications

- Bachelor's degree in computer science or equivalent
- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience in embedded development in C/C++
- Knowledge of system performance, memory management, and parallel computing principles

Preferred Qualifications

- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Knowledge of machine learning model architecture and inference
- Experience developing low-level systems software, networking dataplane, or performance-critical services

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 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 goawsmachine learningaidataproductdesign