Senior Operations Engineering

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. Beyond day-to-day operations, the role drives improvements in observability, service reliability, and automation, ensuring the EDA compute environment remains resilient, measurable, and aligned with long-term engineering demands.in a large-scale, multi-site environment supporting EDA and other compute-intensive workloadsAnalyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround timeLead problem solving across scheduler, OS, and workload layers, ensuring timely resolution of service-impacting issuesIdentify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidentsHelp define and track reliable metrics and SLOs for service performance and reliability, partnering with customers to ensure expectations are realistic and measurableContribute to operational standards, documentation, and best practices to improve consistency across sitesPartner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closureWhat we need to see:Bachelor’s degree in Computer Science or related field, or equivalent experienceMinimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructureStrong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environmentsProficiency in Linux systems administration (CentOS/RHEL)Strong problem solving skills and the ability to independently analyze complex system behavior under loadClear and effective communication skills, including the ability to articulate technical tradeoffs and reliability metrics to engineering stakeholdersWays to stand out from the crowd:Experience implementing reliability engineering practices within HPC scheduling environmentsDeep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniquesExperience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboardsBackground with container technologies such as Docker, Singularity, or Podman in HPC environmentsExperience influencing adoption of new infrastructure standards across multiple teams or sitesNVIDIA offers highly competitive salaries and a comprehensive benefits package. We are seeking creative and independent engineers with real passion for technology!#The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until July 24, 2026.As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.US, NC, DurhamType: Full time