Engineering Director: Developer GPU Platform

Advanced Micro Devices, Inc.•San Jose, CA

62d•Hybrid

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE TEAM: Our team, AIG SHARK, aims to build AI software solutions that are unified, performant, flexible, and customizable while also being the catalyst of AI software development across AMD. Open source is at the heart of everything we do and is critical to our success. We believe in the power of the community and together we can build a great stack that benefits everyone. We embrace a fast-paced, agile approach, leveraging modern development practices to deliver value quickly. Being a part of AMD and AIG, it also means we have a wide portfolio of hardware and customers to support realized product excellence and business impacts. THE ROLE: We are looking for a hands-on Engineering Director to help drive the future of how we manage GPUs within AMD. We're building a self-service GPU platform and while we have many of the "lego pieces" needed to bootstrap core aspects of it, foundational components need to be built from the ground up and all of them need to be integrated into a holistic platform. We've already secured funding to help build it out - just need someone to help drive the ship! Note, this is an internal developer platform and a core part of this job is not only building the platform but working with tenants to help scale their workflows to be scale-ready. The impact you will have: Shift capacity management of our fleet from assigning teams to machines through a manual process to a streamlined self-service model leveraging virtual currency across organizations. Drive up the effective utilization of our overall fleet of GPU machines to accelerate software innovation within AMD. Direct partner strategy on "lego pieces" to incorporate buy vs build decisions over time. Grow developers within AMD to shift to cloud-native workflows. Grow leaders to own major components of a distributed platform stack. THE PERSON: The ideal candidate will have familiarity with building internal developer platforms for GPUs and expertise in fleet and capacity management within a large enterprise. Furthermore, they will not only rely on their leaders but also be capable of being hands-on with the design of the systems they manage.

Requirements

10+ years of experience in software engineering
5+ years of software engineering management
Expertise in building internal development platforms
Expertise in Go/Python

Nice To Haves

Expertise with the challenges of molding developer workflows to be cloud-native
Expertise with GPU developer platforms

Responsibilities

Architect the overall platform and identify key integration points where we can integrate technologies of the larger ecosystem vs. build our own.
Build out small-medium sized teams to close missing gaps needed to build the overall platform - being hands-on as needed to boostrap those efforts.
Define and track key performance metrics for fleet utilization, availability and reliability.
Work closely with developers to understand their pain points and challenges with development at scale.

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