Software Engineer AIML, AWS Neuron Distributed Training Multimodal

AWS Neuron is the complete software stack for the AWS Inferentia (Inf1/Inf2) and Trainium (Trn1) our cloud-scale Machine Learning accelerators. This role is for a machine learning engineer in the Distribute Training team for AWS Neuron responsible for development enablement and performance tuning of a wide variety of ML model families including massive-scale Large Language Models (LLM) such as GPT and Llama as well as Stable Diffusion Vision Transformers (ViT) and many more.

The ML Distributed Training team works side by side with chip architects compiler engineers and runtime engineers to create build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel) Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.

Key job responsibilities
You will help lead the efforts building distributed training support into Pytorch Tensorflow using XLA and the Neuron compiler and runtime stacks. You will help tune these models to ensure highest performance and maximize the efficiency of them running on the custom AWS Trainium and Inferentia silicon and the Trn1 Inf1/2 servers. Strong software development and Machine Learning knowledge are both critical to this role.

About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough but kind code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

About AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


- Bachelors degree in computer science or equivalent
- 2 years of computer science fundamentals (object-oriented design data structures algorithm design problem solving and complexity analysis) experience
- 2 years of contributing to new and current systems architecture and design (architecture design patterns reliability and scaling) experience
- Experience programming with at least one software programming language
- Experience in machine learning data mining information retrieval statistics or natural language processing

- Masters degree in computer science or equivalent
- 2 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience in computer architecture
- Previous software engineering expertise with Pytorch/Jax/Tensorflow Distributed libraries and Frameworks End-to-end Model Training.
- Previous experience with training multi-modal models for understanding and generating images/videos/audios

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