Sr. Software Development Engineer – AIML Networking Disaggregated Inference, Annapurna Labs, Annapurna Labs

Every token a large language model generates depends on data reaching the right accelerator at the right moment. As AI models outgrow any single chip the network between accelerators becomes the bottleneck that decides how fast and how affordably the worlds largest models can serve real users. That network layer is what our team builds.

Were looking for an engineer to work at the frontier of disaggregated inference: splitting LLM serving into separate prefill and decode pools and moving the models KV cache between them at the absolute limit of what the hardware allows. Get it right and users get answers in milliseconds; get it wrong and the fastest accelerators in the world sit idle waiting on data. Youll own pieces of the high-speed transfer path that make the difference and youll measure your success in how close you run to the theoretical peak of the machine.

In this role you will:

Build and optimize the low-level data-movement software across accelerators servers and heterogeneous memory over AWSs highest-performance network fabric.
Push performance to the hardware roofline: profile find the real bottleneck and close the gap between it works and it runs as fast as physics permits.
Work across the stack from kernel and network transport up to the inference frameworks and partner with teams building the chips runtime and models.
Deliver features that run on our largest clusters for our largest customers serving the largest AI models in production.
What were looking for:

Strong C/C and a love for low-level performance-critical systems solid command of Linux kernels memory and writing fast code.
The instinct to ask how fast could this possibly go and the rigor to measure it.
Experience with high-speed networking or HPC interconnects (RDMA InfiniBand libfabric UCX NIXL MPI) is valued highly; embedded-systems experience is a plus.
Prior AI/ML experience is welcome but not required if youre a great systems engineer well teach you the ML side.
If you like solving genuinely hard problems working shoulder-to-shoulder with HPC and ML customers iterating fast and shipping at a scale few places can offer come join us. This is a role on the leading edge of AI/ML infrastructure.

About the team: Youd be joining Annapurna Labs an integral part of AWS. Annapurna designs the hardware and software building blocks behind EC2 every EC2 instance runs on hardware we designed. We specialize in the chips systems and software that optimize the AWS customer experience and this team sits where cutting-edge AI meets the silicon and the network underneath it.

A day in the life
Annapurna Labs a crucial part of AWS is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS.

We have mixed discipline orgs youd be working side by side with infrastructure experts hardware engineers RTL engineers scientists & architects. Our workforce spans the globe and is truly international youll find yourself working side by side with individuals from numerous countries. We take mentorship seriously you can both expect senior mentorship and will be expected to mentor new and junior engineers.

The pace is fast as we work on the latest advancements of AI/ML but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning the AI/ML field is fast moving and constantly evolving.


- 5 years of non-internship professional software development experience
- 5 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
- 5 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
- Must have C/C Coding Experience

- Bachelors degree in computer science or equivalent
- ML Communications (NCCL NIXL NVSHMEM)

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.

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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 - 193300.00 - 261500.00 USD annually