Software Development Engineer – AI/ML Networking Disaggregated Inference, Annapurna Labs , Elastic Collectives

Amazon; Cupertino (CA); On-site; USD 165,000 - 224,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Annapurna Labs, an integral part of AWS, is seeking a Software Development Engineer to push the frontier of AI/ML networking with disaggregated inference. You will build and optimize data-movement software across accelerators and servers, profiling workloads to approach hardware limits and collaborating across stacks from transport to inference frameworks.

You will join a team that designs hardware and software for EC2 infrastructure, focusing on ML/HPC workloads on AWS, with mentorship and

Qualifications

• 3+ years of non‑internship professional software development experience.
• 2+ years of non‑internship design or architecture experience.
• Experience programming with at least one software language (C/C++ highlighted).
• Experience with C/C++.

Responsibilities

• Build and optimize the low-level data-movement software that transfers KV cache and activations across accelerators, servers, and heterogeneous memory — over AWS's highest-performance network fabric.
• Profile real workloads, find the true bottleneck, and close the gap between "it works" and "it runs fast" — pushing components toward the hardware's limit.
• Work across the stack — from network transport up to the inference frameworks — learning from the teams building the chips, runtime, and models.
• Deliver features that ship to our largest clusters, for our largest customers, serving the largest AI models in production.

Skills

C/C++

Software development

System design/architecture

Performance optimization

Education

Bachelor's degree in computer science or equivalent

Tools

RDMA/InfiniBand

libfabric/UCX

NCCL

MPI

Job description

Software Development Engineer – AI/ML Networking Disaggregated Inference, Annapurna Labs , Elastic Collectives

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 world's largest models can serve real users. That network layer is what our team builds.

We're looking for an engineer to work at the frontier of disaggregated inference: splitting LLM serving into separate prefill and decode pools and moving the model's KV cache between them at the 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. You'll build components of the high-speed transfer path that make that difference, and you'll learn to measure success in how close we run to the theoretical peak of the machine.

In this role you will:

• Build and optimize the low-level data-movement software that transfers KV cache and activations across accelerators, servers, and heterogeneous memory — over AWS's highest-performance network fabric.
• Profile real workloads, find the true bottleneck, and close the gap between "it works" and "it runs fast" — pushing components toward the hardware's limit.
• Work across the stack — from network transport up to the inference frameworks — learning from the teams building the chips, runtime, and models.
• Deliver features that ship to our largest clusters, for our largest customers, serving the largest AI models in production.

What we're looking for:

• Strong C/C++ and a genuine interest in low-level, performance‑critical systems — solid command of Linux, memory, and writing fast code.
• The instinct to ask "how fast could this go?" and the discipline to measure it.
• Exposure to high-speed networking, HPC interconnects, or GPU/accelerator systems (RDMA, InfiniBand, libfabric, UCX, NCCL, MPI) is a strong plus; embedded‑systems experience is welcome.
• Prior AI/ML experience is not required — if you're a strong systems engineer eager to learn, we'll teach you the ML side.
• If you like solving genuinely hard problems, working alongside HPC and ML customers, iterating fast, and shipping at a scale few places can offer, come join us. You'll work alongside senior engineers and Principal Engineers who've built this layer from the ground up, with real room to grow your scope and technical depth — on a team at the leading edge of AI/ML infrastructure.

About the team: You'd 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 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, you’d be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you’ll 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.

About the team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge‑sharing and mentorship. Our senior members enjoy one‑on‑one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge‑sharing, mentorship and other career‑advancing resources here to help you develop into a better‑rounded professional.

Basic Qualifications

• 3+ years of non‑internship professional software development experience
• 2+ years of non‑internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language
• Experience with C/C++

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

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.

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

USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.