Senior Software Engineer - ML Network Stack, ML Network Stack

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.

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 at scale. Use our internal

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Basic Qualifications
- 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.

Preferred Qualifications
- Bachelor's degree in computer science or equivalent.
- Experience creating automated dashboards and visualization (such as Grafana). המשרה מיועדת לנשים ולגברים כאחד.