Staff DevOps Engineer

Job summary

The DevOps Engineer develops and operates engineering infrastructure that supports high-performance CPU design and verification. The role builds automation, CI and regression systems, observability, and distributed workload management for large-scale verification on HPC compute fArm***s, collaborating with software, design, and verification engineers. Relevant technologies include Python or Ruby, Linux, Jenkins, IBM Spectrum LSF, and Slurm.

Benefits

Qualifications

• Production-quality software or engineering infrastructure delivery experience.
• Strong software engineering fundamentals, including API design, testing, debugging, source control, code review, and maintainability.
• Experience with high-performance or large-scale compute environments and distributed workloads.
• Experience diagnosing system and application issues using observability techniques.
• Understanding of hardware design and verification flows, including simulation, regression testing, and failure analysis.
• Expertise in Python or Ruby; shell scripting is strongly preferred.
• Experience with Linux systems and CI/CD or automated build, test, and regression systems.
• Strong problem-solving, communication, and collaboration skills.
• Five to ten years of relevant experience.
• A degree or equivalent experience in Computer Science, Software Engineering, Electronic Engineering, Computer Engineering, or a related field is desirable.

Responsibilities

• Develop, test, and operate infrastructure for CPU design and verification.
• Build software and automation for CPU development and verification workflows.
• Create tools to submit, manage, monitor, and analyze distributed compute workloads.
• Improve infrastructure observability with metrics, logging, dashboards, alerting, and automated diagnostics.
• Improve CI and regression infrastructure for hardware design and verification teams.
• Integrate source control, CI systems, verification tools, workload schedulers, and engineering services.
• Diagnose issues across software, verification tools, operating systems, compute infrastructure, and storage.
• Improve compute utilization, verification throughput, and turnaround time.
• Support large-scale verification workloads on HPC compute fArm***s.
• Contribute to technical direction and engineering improvements.

Skills

Degrees

Industry

Relocation