Senior Software Engineer- ML Network Stack, ML Network Stack - Annapurna Labs

We are seeking an experienced engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important.

Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML—you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. .The organization you would be joining is Annapurna Labs, an integral part of Amazon that develops hardware and software components that are critical building blocks for EC2 infrastructure.

Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience.

Key job responsibilities

Be a senior engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run  internal Amazon CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads.

Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.

A day in the life

As a Senior SDE III on the Elastic Compute team at Annapurna Labs, you work where silicon meets software — your decisions ripple across millions of EC2 instances and shape the performance, security, and cost efficiency of the AWS compute platform. A day might start by root-causing a fleet-wide latency anomaly across the full stack, from the hypervisor and Nitro offload path down to firmware;

move into owning the architecture for a multi-year initiative and leading the design review where the hard questions about scale, failure domains, and safe fleet-wide rollout get asked — often co-designed directly with silicon and hardware partners; and end deep in a low-level C/C++ or Rust change, a down-to-the-instruction performance investigation, or twenty minutes pairing with a newer engineer because raising the bar around you is part of the job, not a distraction from it.

The systems you build run continuously, at massive scale, with little tolerance for error — so a great day ends with something shipped or a hard problem genuinely understood, knowing your work will be quietly running in data centers around the world tomorrow.

About the team

The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience.

Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we…