Sr. SDM, AI Inference Technology, Neuron SDK

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon Elastic Compute Cloud (EC2) to new product innovations that continue to set AWSs services and features apart in the industry.

Come develop inference acceleration for AWS Neuron the complete software stack for Trainium Amazons custom cloud-scale machine learning accelerators that power the latest AI models

As the Sr. SDM for the Inference Technology Team you will lead a strong team of managers and engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. You will be responsible for the full development life cycle of inference library and feature development including reliability and scalability. You will develop the NeuronxDistributed Inference Libraries and contribute to other popular open source Inference Libraries enabling customers to optimize LLMs multimodal and generative models.

The ideal candidate will have an established background in delivering AI feature support for demanding fast-changing priorities or delivering high-performance models using distributed inference libraries. The ideal candidate should have a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware frameworks and workflows.

A day in the life
You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions developing the full stack of software servers and chips together with teams across the Annapurna organization to run the largest machine learning workloads.

About the team
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.

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.

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.

- 10 years of engineering experience
- 5 years of engineering team management experience
- 10 years of planning designing developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs projects and development teams in an Agile environment

- Experience partnering with product and program management teams
- Experience designing and developing large scale high-traffic applications

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

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $198100/year in our lowest geographic market up to $342300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.