Senior HPC and LSF Operations Developer - EDA Infrastructure
NVIDIA is hiring a Senior HPC and LSF Operations Developer - EDA Infrastructure in Santa Clara, United States. It pays $152k-$242k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
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. Success in this role requires both operational precision along with developing and supporting forward-looking resource management solutions that address evolving compute demands. 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.
What you'll be doing:
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
What we need to see:
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
Ways to stand out from the crowd:
Experience implementing reliability engineering practices within HPC scheduling environments
Deep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniques
Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboards
Background with container technologies such as Docker, Singularity, or Podman in HPC environments
Experience influencing adoption of new infrastructure standards across multiple teams or sites
NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!
#LI-Hybrid
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. 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.How we rate this
Senior HPC and LSF Operations Developer - EDA Infrastructure at NVIDIA rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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