Principal Developer Advocate - AWS Trainium, Trainium

Description

Do you love getting hands-on with ML hardware acceleration and sharing your passion for open
- source AI with the broader developer community?

Amazon Web Services (AWS) is looking for a Principal Developer Advocate to join the

Annapurna Labs team. AWS Machine Learning accelerators are at the forefront of AWS

innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest

cost in cloud. Trainium will deliver the best-in-class ML training performance with the most

teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by our software

stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler,

runtime and natively integrates into popular ML frameworks including PyTorch. In this role, you

will be the external face of AWS in ML hardware acceleration, combining deep technical

expertise, strategic vision, and authentic community engagement to drive awareness, trust, and

adoption of Trainium and the Neuron SDK across the global ML developer ecosystem.

Ideally, you come from a software engineering, ML research, or systems performance

background - but you love being on stage, on screen, or in the open-source community guiding

developers toward technologies you believe in. You have immediate credibility with ML

practitioners, researchers, and performance engineers. You are excited about open-source AI,

hardware-software co-design, and the future of ML infrastructure. You exhibit strong judgment

in selecting strategic opportunities and can operate with full independence across multiple

technical communities

Key job responsibilities

Creating and maintaining relevant content (demos, videos, blogs, podcasts, live streams, etc),

covering AWS Trainium and the Neuron SDK along with emerging technologies and industry

developments.

Gaining industry recognition and credibility as a regular attendee and speaker at third party

technology conferences, shows and press events.

Curating, developing and delivering compelling presentations to help drive awareness and

adoption of AWS Trainium.

Maintaining a credible presence in social media

Ability to travel (including internationally when needed) and ability to work autonomously

A day in the life

As a technical champion, you'll create and deliver content that makes Trainium and the Neuron

SDK accessible, credible, and compelling to ML developers worldwide - from getting-started

tutorials to deep-dive kernel optimization guides. As a community builder, you'll engage with

ML practitioners, researchers, and performance engineers to understand their challenges,

represent their voice internally, and translate community insights into product roadmap impact.

As an ecosystem strategist, you'll build long-term partnerships with key open-source projects and

communities, co-develop integrations, and ensure Trainium is a visible and credible option

wherever ML developers make hardware decisions.

About the team

The Amazon Annapurna Labs team is a responsible for building innovation in silicon and

software for AWS customers. We are at the forefront of innovation by combining cloud scale

with the world's most talented engineers. Our team covers multiple disciplines including silicon

engineering, hardware design and verification, software and operations. Because of our teams

breadth of talent, we have been able to improve AWS cloud infrastructure in networking and

security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic

Fabric Adapter (EFA), in compute with AWS Graviton and the EC2 F1 FPGA instances, in

storage with scalable NVMe, and now in AI and Machine Learning with AWS Neuron SDK,

Inferentia and Trainium ML accelerators.

Basic Qualifications

* Experience conveying complex technical concepts to both technical and business audiences

* Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing

* Experience communicating complex ideas to technical and non-technical audiences

* 10+ years of Experience in software engineering, ML research, systems performance, or a related technical field

* Experience with machine learning frameworks,…