Senior HPC and LSF Operations Engineer

NVIDIA; Westford (MA); On-site; USD 152,000 - 241,500; Full time

Job summary

A leading technology company in Westford is seeking an individual to manage and optimize job scheduling systems in a high-performance computing environment. The ideal candidate will have a Bachelor’s in Computer Science and over five years of experience in supporting large-scale Linux-based infrastructures. Responsibilities include analyzing performance data, leading problem-solving efforts, and collaborating with customer teams. Competitive salaries and equity options are offered in addition to a comprehensive benefits package.

Qualifications

• 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure.
• Hands-on experience supporting and tuning job scheduling systems in HPC environments.
• Strong problem-solving skills and ability to analyze complex system behavior.

Responsibilities

• Manage job scheduling systems in a multi-site environment.
• Analyze infrastructure performance data to improve utilization.
• Lead problem solving across scheduler and workload layers.

Skills

Job scheduling systems (LSF, Slurm)

Linux systems administration (CentOS/RHEL)

Problem-solving skills

Communication skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Singularity

Podman

Job description

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.

Base salary range: $152,000 - $241,500 for Level 3 and $184,000 - $287,500 for Level 4, based on location and experience. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender or gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.