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Amazon · Seattle, WA

# Sr. Manager, Software Development, ML Network Stack - Annapurna Labs

US, WA, Seattle Manager or lead Software Engineering 

Listed on Amazon’s official careers site. Posted August 4, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10492278/sr-manager-software-development-ml-network-stack-annapurna-labs)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Sr. Manager, Software Development, ML Network Stack - Annapurna Labs

## Job description

We are hiring a Sr. Software Development Manager for the team that owns major parts of the network stack for EC2 distributed AI/ML and HPC systems. The team is also responsible for development and maintenance of the CI/CD framework for the EFA ML and HPC Host stack components.

We are seeking an experienced engineering manager with multiple years of hands-on experience in systems programming, understanding of networks, RDMA, HPC and HW/SW co-design,

Experience with the NVIDIA stack, ML applications, and frameworks will be highly regarded. You'll be directing work to ensure the teams deliver functions and features required for the latest and largest ML workloads.

### 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.

## At a glance
- Posted by the employer: Aug 4, 2026
- First seen by OpenNash: Oct 18, 2026
- Last checked: Oct 18, 2026
- Listed for: 75 days
- Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10492278/sr-manager-software-development-ml-network-stack-annapurna-labs)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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