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

Amazon is hiring a Senior Software Engineer- ML Network Stack, ML Network Stack - Annapurna Labs in Tel Aviv, Israel. Level rates it ; you can apply on Level.

AI in this role

perplexity

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 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.

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 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.

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

- 8+ years of non-internship professional software development experience
- 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 8+ 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)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Software Engineer- ML Network Stack, ML Network Stack - Annapurna Labs at Amazon rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Software Engineer- ML Network Stack, ML Network Stack - Annapurna Labs is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IL, Tel Aviv.
The job was posted on October 13, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Perplexity

Also common in software engineer jobs at this level

LLM Machine learning AI agents Kubernetes Java Generative AI

Pay

Typical software engineer job: $168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

What's a project where you used Perplexity hands-on?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Perplexity. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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