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

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. - 10+ years of engineering experience - 5+ years of engineering team management experience - 10+ years of planning, designing, developing and delivering consumer software experience - Experience partnering with product or program management teams - Experience managing multiple concurrent programs, projects and development teams in an Agile environment - Experience partnering with product and program management teams - Experience designing and developing large scale, high-traffic applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 amazon.jobs for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at amazon.jobs . USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually

Requirements

Must-haves

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
10+ years of engineering experience
5+ years of engineering team management experience
10+ years of planning, designing, developing and delivering consumer software experience
Experience partnering with product or program management teams
Experience managing multiple concurrent programs, projects and development teams in an Agile environment
Experience partnering with product and program management teams
Experience designing and developing large scale, high-traffic applications
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually

Nice-to-haves

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Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlci/cdawsagile

Platform: amazon
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave