Software Engineer- AIML, Amazon Neuron Training

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron the software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium Amazons custom machine learning accelerator. Neuron includes an ML compiler runtime collectives library and application framework that integrate with PyTorch and JAX so customers can train frontier-scale models on Trainium without rewriting their stack.

The Distributed Training team is at the forefront of training a wide range of models on AWSs custom ML accelerators supporting novel architectures while maximizing their training performance. Working across the stack from PyTorch and JAX down to the hardware and software boundary our engineers build the infrastructure that large-scale training depends on develop new parallelism and numerics techniques and tune high-performance kernels for the operations that dominate a training step so every compute unit is doing useful work on our customers most demanding workloads. We combine deep hardware knowledge with ML expertise to push the limits of training efficiency at scale.

As part of the broader Neuron organization our team works across multiple technology layers from frameworks and kernels through to the compiler runtime and collectives teams. This is hardware and software co-design in practice. A single throughput gap rarely sits in one layer so tracing it means following the problem across the stack deciding where the fix belongs and working with the team that owns that layer to land it. We not only optimize current performance but also contribute to future architecture designs since the gaps we characterize today become requirements for the next generation of Trainium. We work closely with customers to enable their models and ensure they train efficiently. This role offers a rare opportunity to work at the intersection of machine learning high-performance computing and distributed systems where you will help shape the direction of AI acceleration technology.



Key job responsibilities
Your role will help lead the effort to optimize distributed training performance on Trainium with a primary focus on training throughput across the Neuron software stack. You will work across PyTorch and Neuron solftware stack with amazing Neuron compiler and runtime teams to enable and tune large-scale training workloads on the latest Trainium instances You will own the parallelism strategies these models depend on spanning data tensor pipeline expert and context parallelism and apply reduced-precision formats where they measurably pay off. You will profile end to end to determine whether a workload is bound by compute memory collectives or host overhead then drive the fix to the layer that owns it working with compiler runtime and collectives engineers to land it. You will translate the performance gaps you characterize into requirements that influence frameworks and contribute upstream to the open source frameworks our customers train on.



About the team
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- 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

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

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 Companys 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 for more information. If the country/region youre applying in isnt 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 CA Cupertino - 165200.00 - 223600.00 USD annually
USA WA Seattle - 143700.00 - 194400.00 USD annually