Principal Developer Advocate - AWS Trainium, Trainium

Amazon.com Inc

Cupertino, CA

JOB DETAILS
SKILLS
Amazon Elastic Compute Cloud (EC2), Amazon Web Services (AWS), Artificial Intelligence (AI), Blog, Cloud Computing, Community Development, Conferences, Content Delivery/Distribution, Content Development, Cross-Functional, Design Verification, Ecosystems, Emerging Technology, FPGA, Hardware Design, Kernel Programming, Machine Learning, Network Security, Open Source, Performance Engineering, Podcasting, Presentation/Verbal Skills, Product Demonstration, Product Planning, Social Media, Software Design, Software Development, Software Engineering, Technical Strategy, Theater, Willing to Travel
LOCATION
Cupertino, CA
POSTED
30+ days ago

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, livestreams, 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.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles