DevOps​/GPU Stack Build Architect

Advance Your Career. Advance The World.

At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward.

This is a greenfield architecture role. You'll be making foundational decisions during the proof-of-concept phase, with 1,000+ developers and 65+ firmware components as the eventual scope. If you want to design a build system from scratch — and you reach for an AI coding agent before a bash script — this role was written for you.

• Make foundational build system architecture decisions — the super-build is greenfield. You'll determine how 65+ firmware components, the kernel driver, and ROCm are structured, how dependencies are expressed and resolved, and how the system scales as more components onboard. These decisions matter and they're yours to make.
• Lead firmware recipe migration using AI-assisted workflows — the existing firmware builds are scattered across multiple CI systems with no single source of truth. You'll reverse-engineer what exists, understand the dependencies, and convert those recipes into the unified build — using agentic AI coding tools to move at a pace that would otherwise take years. Strong opinions about package management and host dependency handling are a real advantage here.
• Build repo automation that keeps the super-repo sane — with 65+ component repos feeding into a unified system, manual dependency updates don't scale. You'll map the full repo landscape, design the submodule/manifest architecture, and build the automation that keeps versions in sync without constant human intervention.
• Unblock new team members from day one — the tiger team is actively growing and new engineers are blocked until they have a working dev environment. You'll stand up replicable, documented machine setups that solve the network access, firewall, and cloud quota constraints so onboarding stops being a bottleneck.

Required:

• 10+ years of software engineering experience with deep focus on build systems
• Strong hands-on coding ability — this is an IC lead role, not a managing-from-above role
• Expert-level knowledge of build tools (cmake, ninja, Bazel, or equivalent) and build system design at scale
• Experience with packaging, host dependency management, and toolchain configuration
• Track record of modernizing or architecting a build system used by 100+ developers
• Strong understanding of version control and dependency management at scale (git submodules, manifest-driven workflows, etc.)

Strong Plus:

• Fluency with agentic AI workflows (Cursor, Claude, Copilot, etc.) as a force multiplier for engineering throughput
• Experience with firmware or kernel build systems (embedded firmware, Linux kernel, or similar)
• Familiarity with Git Hub Actions and CI/CD pipeline design
• Experience building in or migrating to cloud-hosted runner environments (AWS)

• Sharpen your agentic AI engineering skills — the scope of this work (65+ firmware components, greenfield architecture, 1,000+ eventual users) means you'll be using AI coding agents as a core part of your workflow every day, not occasionally. Reverse-engineering build recipes, generating dependency graphs, scaffolding build configurations — this is exactly the kind of high-volume, pattern-rich work where agentic AI makes the difference between a months-long slog and a fast, iterative build.
  
  You'll leave with a depth of experience in AI-assisted engineering that's hard to get anywhere else.
• Greenfield scope — you're making foundational architectural decisions during the PoC phase, not inheriting and patching someone else's system
• Customer-facing impact — the build platform you design directly determines how quickly AMD can ship complete, validated GPU stack releases
• Latest hardware — you'll work alongside the teams building AMD's next-generation GPU stack
• Open-source aligned — this work follows the same shift-left, trunk-health principles driving AMD's ROCm open-source direction