Sr. SDM, AI Inference, 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 optimize and deploy inference models on Trainium Amazons custom cloud-scale machine learning accelerators that power the latest AI models

As a Sr. SDM for the Inference Team you will lead a strong team of managers and engineers to optimize models for best performance and robustness when deployed at scale on Trainium and Inferentia devices. You will be responsible for the full development life cycle of model onboarding low-level performance optimization feature support and efficient serving including reliability and scalability.

Preferred qualifications include an established background in optimizing and serving AI models under demanding fast-changing priorities and a strong technical ability to understand and manage a vertically integrated system stack that consisting of hardware frameworks serving stack model 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.

- 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.

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 - 253100.00 - 342300.00 USD annually