JobMatcherAMD is seeking a GPU Stack CI Infrastructure Engineer to own the end-to-end CI system for the GPU software stack, including automated pre-submit validation, nightly integration builds, and a Last Known Good (LKG) manifest that provides engineers a trusted baseline. The role involves provisioning and maintaining runners, integrating the hardware test pipeline, coordinating with IT on infrastructure constraints, and delivering automation that powers rapid, customer-ready releases.
AMD is seeking a GPU Stack CI Infrastructure Engineer to own the end-to-end CI system for the GPU software stack, including automated pre-submit validation, nightly integration builds, and a Last Known Good (LKG) manifest that provides engineers a trusted baseline. The role involves provisioning and maintaining runners, integrating the hardware test pipeline, coordinating with IT on infrastructure constraints, and delivering automation that powers rapid, customer-ready releases.
Responsibilities include standing up nightly CI for the unified GPU stack, owning the pipeline, scheduling, result reporting, and LKG promotion; solving the runner provisioning problem by working with IT to deploy self-hosted GitHub Actions runners that support firmware builds (NFS mounts, code-signing pipelines, network access, and permissions). You'll align infrastructure with the broader move toward AWS-hosted runners and ensure the platform remains consistent from the start.
You'll own the CI system, making tooling choices and delivering automation that others rely on; collaborate across engineering and IT stakeholders. Required: software or infrastructure engineering experience; strong coding ability to automate; deep knowledge of CI/CD pipelines and GitHub Actions; experience provisioning self-hosted runners at scale; comfort navigating complex network/firewall/signing environments. Nice-to-have: experience with agentic AI workflows; AWS CI infrastructure; familiarity with firmware signing pipelines and hardware-in-the-loop testing. This posting is for an existing vacancy.
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Responsibilities include standing up nightly CI for the unified GPU stack, owning the pipeline, scheduling, result reporting, and LKG promotion; solving the runner provisioning problem by working with IT to deploy self-hosted GitHub Actions runners that support firmware builds (NFS mounts, code-signing pipelines, network access, and permissions). You'll align infrastructure with the broader move toward AWS-hosted runners and ensure the platform remains consistent from the start.
You'll own the CI system, making tooling choices and delivering automation that others rely on; collaborate across engineering and IT stakeholders. Required: software or infrastructure engineering experience; strong coding ability to automate; deep knowledge of CI/CD pipelines and GitHub Actions; experience provisioning self-hosted runners at scale; comfort navigating complex network/firewall/signing environments. Nice-to-have: experience with agentic AI workflows; AWS CI infrastructure; familiarity with firmware signing pipelines and hardware-in-the-loop testing. This posting is for an existing vacancy.
Track similar jobs
Get email alerts when new roles like this are posted.
Based on: GPU Stack CI Infrastructure Engineer
Насколько эта вакансия подходит вашему резюме
Войдите, чтобы увидеть AI match score и персональную ленту.
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