Get more replies from employers
Send a job-specific resume in minutes.
AMD is building a hardware-assisted security platform with silicon-level PMCs and on-chip ML to detect advanced endpoint threats. We seek a senior CI/CD/DevOps engineer to design and own the CI/CD platform for this stack, including kernel drivers, ML pipelines, and partner SDK packaging.
You will automate builds, tests, and artifact promotion, implement gates for detection metrics, manage code signing, and maintain HW-in-the-loop validation on physical AMD hardware, while integrating SAST and
AMD is building a hardware-assisted security platform that uses silicon-level Performance Monitoring Counters (PMCs) and on-chip machine learning to detect advanced endpoint threats (ransomware, fileless malware, cryptojacking) at the processor layer, below OS-based evasion. The platform collects CPU behavioral telemetry, classifies it via an ML inference engine, and exposes threat signals to security-software partners through a standardized API. The team covers the full stack: silicon telemetry, ML training/validation, real-time inference, lab qualification and CI/CD.
Design, implement and own the CI/CD platform for the AMD hardware security software stack, covering kernel drivers, ML pipelines, real-time inference components and partner SDK packaging.
Implement automated build, test, code signing and artifact promotion pipelines using modern CI/CD tooling.
Develop automated gates that validate detection rate and false-positive metrics against baseline thresholds before any model or driver change is promoted to staging or release.
Manage secure code signing workflows for kernel-mode driver packages; ensure compliance with Windows WHQL and Linux distribution signing requirements.
Build and maintain hardware-in-the-loop CI environments that run validation tests on physical AMD hardware to catch platform-specific regressions.
Integrate security scanning (SAST, dependency analysis, license compliance) into the CI pipeline.
Own developer tooling: build environments, dependency management, container images, artifact versioning and release packaging.
Define and monitor CI/CD platform SLAs (pipeline duration, flakiness rate, artifact reliability) and drive continuous improvement.
5+ years of CI/CD or DevOps engineering experience.
Deep expertise with at least one major CI/CD platform (Jenkins, GitLab CI, GitHub Actions, Azure DevOps or equivalent).
Strong scripting skills in Python, Bash and/or PowerShell.
Experience with containerization and orchestration (Docker, Kubernetes). Experience managing kernel driver build toolchains (WDK, DKMS or equivalent). Familiarity with secure software supply chain practices: code signing, SBOM, artifact provenance.
Experience in a security software or endpoint protection company. Familiarity with ML model CI/CD: experiment tracking, model registry and model promotion gates.
Knowledge of AMD software development toolchains or driver signing. Experience with WHQL certification processes or Linux kernel module signing.