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# Sr. SDM, AI Inference Technology, Neuron SDK

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, 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, Open Source Technology, Software Engineering, Large Language Models
- **Published:** June 20, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27780028/Sr-Sdm-Ai-Inference-Technology-Neuron-Sdk-Washington-Seattle-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 develop inference acceleration for AWS Neuron, the complete software stack for Trainium, Amazon's 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 Neuronx_Distributed 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.


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