Software Development Manager, AI Inference Technology, Neuron SDK

Amazon•Seattle, WA

11d

About The Position

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. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscale machine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to run really fast on Trainium. As the SDM for the Neuron Inference Technology building blocks team, you will guide your expert AI engineers to build fundamental inference technology building blocks and libraries to enable AI developers to optimize model for inference on Trainium and Inferentia devices. We’re currently focusing on MoE models such as GPT OSS for Trainium 2 and the upcoming Trainium 3. You will develop and optimize blocks such as attention kernels and deliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimize LLMs, multimodal, and generative models. The ideal candidate will have an established background in optimizing LLMs, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime and collectives. A day in the life You will work with your senior management and technical leaders to define the building blocks for the latest LLMs, build and deliver them to customers. You will manage changing priorities as new models and new technologies emerge, and you adapt your team’s work to manage them. You will dive deep to help your team solve technical challenges. About the team About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, hasn’t followed a traditional path, or includes alternative experiences, don’t 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, there’s nothing we can’t achieve in the cloud. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Requirements

3+ years of engineering team management experience
7+ years of working directly within engineering teams experience
3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
Experience partnering with product or program management teams
Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Responsibilities

Work with your senior management and technical leaders to define the building blocks for the latest LLMs, build and deliver them to customers.
Manage changing priorities as new models and new technologies emerge, and you adapt your team’s work to manage them.
Dive deep to help your team solve technical challenges.