DevOps / GPU Stack Build Architect

Advanced Micro Devices, Inc•San Jose, CA

6d•Hybrid

About The Position

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. We are building a unified build platform that treats firmware, kernel, and ROCm as a single deliverable, built from source, validated together, and releasable on demand. This role is a greenfield architecture position where you will make foundational decisions during the proof-of-concept phase, with a scope of 1,000+ developers and 65+ firmware components. If you want to design a build system from scratch and utilize AI coding agents, this role is for you.

Requirements

10+ years of software engineering experience with a deep focus on build systems.
Strong hands-on coding ability.
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.).

Nice To Haves

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 GitHub Actions and CI/CD pipeline design.
Experience building in or migrating to cloud-hosted runner environments (AWS).

Responsibilities

Make foundational build system architecture decisions for a greenfield super-build, determining structure, dependency expression and resolution, and system scaling for 65+ firmware components, the kernel driver, and ROCm.
Lead firmware recipe migration using AI-assisted workflows, reverse-engineering existing builds, understanding dependencies, and converting recipes into the unified build.
Build repo automation to manage dependencies and keep versions in sync within the unified system, mapping the repo landscape and designing the submodule/manifest architecture.
Set up replicable, documented machine setups to solve network access, firewall, and cloud quota constraints, enabling new team members to have a working dev environment from day one.