\nUS, California\n
\n

PERMANENT

\nUpdated 08/2026\nJob Description\nJob Summary\nAnnapurna Labs was a startup acquired by AWS in 2015 and is now fully integrated. If AWS is an infrastructure company, think of Annapurna Labs as the infrastructure provider of AWS. Our org spans silicon engineering, hardware design and verification, software, and operations. Weve delivered AWS Nitro, ENA, EFA, Graviton, F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and scalable NVMe storage.\nAWS Neuron is the complete software stack for AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them.\nWere looking for a Software Development Engineer to help build and evolve machine learning tools that run, optimize, and analyze ML workloads on custom AI accelerators. Youll work across the stack, from infrastructure orchestration to developer-facing tooling

alongside hardware engineers, system architects, and ML researchers both within and outside Amazon.\nKey job responsibilities
This engineer will lead the design and implementation of new tools, pipelines and automation, will work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators.
Build high-impact solutions that ship to a large and growing customer base.
Participate in design discussions, code reviews, and cross-functional collaboration with hardware, software, and customer-facing teams.
Create metrics, implement automation, and resolve root causes of software defects.
Work in a startup-like environment where youre always focused on the most important problems.

\nAbout the team\nThis is a high-impact, high-visibility team where your work directly accelerates every Neuron teams ability to ship, effectively multiplying the output of 100+ engineers. Were a small, senior group actively building greenfield capabilities, which means significant design ownership for SDEs and the opportunity to own major components and drive architectural decisions. 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Software Development Engineer I, ML Infra Services, Annapurna Labs