Software Engineer Neuron Containers, Annapurna Labs, Neuron Containers, Annapurna Labs

Annapurna Labs was a startup acquired by AWS in 2015 and is now fully integrated. AWS Neuron is the complete software stack for the Inferentia and Trainium ML accelerators – the custom silicon that powers large‑scale AI workloads on AWS. The Neuron Containers team is looking for a Software Development Engineer to build platform integrations that enable customers to run distributed training and inference workloads on Neuron  team owns Neuron integration with Kubernetes, ECS, and Slurm – handling device allocation, fault tolerance, auto‑scaling, and orchestration across large clusters.

The team also owns delivery of Neuron Deep Learning Containers (DLCs) and Deep Learning AMIs (DLAMIs) – the pre‑configured container images and machine images that package the Neuron SDK for customer deployment on Trainium and Inferentia instances.

• Design and implement container platform integrations – device plugins, DRA drivers, and operators for ML accelerator resource management
• Build and maintain Neuron DLCs and DLAMIs for customer deployment across EKS, ECS, EC2, and Sage Maker
• Diagnose and resolve performance and scalability issues across large customer clusters
• Simplify systems – deprecate legacy software and reduce complexity in container delivery pipelines
• Deliver software across the full development lifecycle including design documentation, implementation, testing, deployment, and operations

• 3+ years of non‑internship professional software development experience
• 2+ years of non‑internship design or architecture experience (design patterns, reliability, and scaling) of new and existing systems
• Experience programming with at least one software programming language
• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
• Bachelor’s degree in computer science or equivalent
• Experience with distributed systems or large‑scale cluster infrastructure
• Familiarity with ML training/inference workflows (distributed training, collective)
• Experience with AWS compute services (EC2, EKS, ECS, ECR)
• Hands‑on experience with Helm, Prometheus, or Kubernetes operator frameworks
• Experience with container image pipelines, Deep Learning Containers, or Deep Learning AMIs
• Contributions to open‑source projects, particularly in the Kubernetes ecosystem

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:
Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence; communicating effectively; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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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 optional 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 .

Location and salary: USA, CA, Cupertino –  –  USD annually