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# Sr. SDM, AI Inference, Neuron SDK

- **Company:** Amazon.com, Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Salary:** $253,100.0 - $342,300.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Machine Learning, Performance Tuning, Software Engineering
- **Published:** August 3, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27906390/Sr-Sdm-Ai-Inference-Neuron-Sdk-California-Cupertino-7375

## About the Role

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

Preferred Qualifications

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

## Description

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 AWS's services and features apart in the industry.

Come optimize and deploy inference models on Trainium, Amazon's 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.


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