Role at a glance
- Salary
- $165.2K – $223.6K/yr
- Location
- Cupertino, California, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- Bachelor's degree in computer science or equivalent
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Role Summary
The Neuron Containers team builds platform integrations that enable customers to run distributed training and inference workloads on AWS Neuron accelerators at scale. The role covers integrations with Kubernetes, ECS, and Slurm, as well as delivery of Neuron Deep Learning Containers and Deep Learning AMIs for Trainium and Inferentia deployments.
What You'll Do
- Design and implement container platform integrations, including device plugins, DRA drivers, and operators for ML accelerator resource...
- Build and maintain Neuron Deep Learning Containers and Deep Learning AMIs for deployment across EKS, ECS, EC2, and SageMaker.
- Diagnose and resolve performance and scalability issues across large customer clusters.
- Simplify systems by deprecating legacy software and reducing complexity in container delivery pipelines.
- Deliver software across the full development lifecycle, including design documentation, implementation, testing, deployment, and operations.
- Participate in architecture reviews, triage test failures, resolve operational issues, and contribute to upstream Kubernetes projects.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.