Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads
Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time
Lead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issues
Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents
Help define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurable
Contribute to operational standards, documentation, and best practices to improve consistency across sites
Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure

Requirements

Bachelor’s degree in Computer Science or related field, or equivalent experience
Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure
Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environments
Proficiency in Linux systems administration (CentOS/RHEL)
Strong problem solving skills and the ability to independently analyze complex system behavior under load
Clear and effective communication skills, including the ability to articulate technical tradeoffs and reliability metrics to engineering stakeholders

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

job scheduling systemsLSFSlurmLinux systems administrationCentOSRHELperformance analysisautomationprocess improvementsmetrics tracking

Soft Skills

problem solvingcommunicationanalytical skillscollaborationcustomer partnership

Certifications

Bachelor’s degree in Computer Science