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 at scale. The 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.

Key job responsibilities
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 SageMaker
 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

A day in the life
You'll work with teams across the Neuron org and customers to build and maintain integrations for current and next-generation accelerators. You'll participate in architecture reviews, triage test failures, resolve operational issues, and contribute to upstream Kubernetes projects. You'll debug platform integration problems — how Neuron interacts with container runtimes, orchestrators, and scheduling systems a scale.

Basic Qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred Qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 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: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow 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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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