Lead Engineer, ML Network Stack - Annapurna Labs

Amazon • Cupertino, CA

1d

About The Position

We are seeking an experienced engineer and technical leader 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. This is
a role for a technical lead with the expectation to grow into a technical
manager role. We are specifically seeking candidates who want to develop their
career as a technical manager.

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.

Requirements

• 5+ years of non-internship professional software development 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
• 3+ years as a mentor, tech lead or leading engineering teams
• 3+years experience in SW/HW Co-Design

Nice To Haves

• Bachelor's degree in computer science or equivalent
• Experience creating automated dashboards and visualization (such as Grafana)

Responsibilities

• Be the lead engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale.
• Use 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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level