ZipRecruiter

Log In

1

Slurm Jobs (NOW HIRING)

Nvidia

Senior HPC and LSF Operations Engineer

Westford, MA · Hybrid

$108K - $148K/yr

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 ...

Nvidia

Senior HPC and LSF Operations Engineer

Austin, TX · Hybrid

$103K - $141K/yr

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 ...

Jahnel Group

HPC Administrator

Schenectady, NY

Administer and maintain Altair Access , PBS Professional , and Slurm workload scheduling environments * Manage user onboarding, account provisioning, queue access, and resource allocation policies

Nvidia

Senior HPC and LSF Operations Engineer

Durham, NC · Hybrid

$101K - $138K/yr

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 ...

Jahnel Group

HPC Administrator

Schenectady, NY · On-site

Administer and maintain Altair Access , PBS Professional , and Slurm workload scheduling environments * Manage user onboarding, account provisioning, queue access, and resource allocation policies

MDAEdge

Senior HPC Specialist

Denver, CO · On-site

... e.g., Slurm, PBS, Grid Engine). • Monitor system health, troubleshoot issues, and resolve performance bottlenecks. • Ensure optimal configuration and high availability of HPC resources. • ...

Abaxis

HPC Platform Product Lead

Portage, MI · On-site +1

SLURM scheduling leadership & L3 support (15%) * Own scheduling strategy (partitions/queues, QoS, fairshare, accounting, reservations); lead configuration, troubleshooting, and job efficiency ...

Siri InfoSolutions Inc

Cloud Full Stack Engineer

Raritan, NJ · On-site

$57 - $76.25/hr

Hybrid Cloud & HPC Workflow Orchestration Integrate cloud-based workflows with HPC environments such as Slurm. Develop event-driven processing pipelines using Python, AWS Lambda, Amazon S3 events ...

Zoetis, Inc

HPC Platform Product Lead

Kalamazoo, MI · On-site

SLURM scheduling leadership & L3 support (15%) * Own scheduling strategy (partitions/queues, QoS, fairshare, accounting, reservations); lead configuration, troubleshooting, and job efficiency ...

previous page

Showing results 41-60

All JobsSlurm Jobs

Slurm information

See salary details

$11K

$106.4K

$212.5K

How much do slurm jobs pay per year?

As of Aug 18, 2026, the average yearly pay for slurm in the United States is $106,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $205,000.00 per year, depending on experience, location, and employer.
More about Slurm jobs

What cities are hiring for Slurm jobs?

Cities with the most Slurm job openings:

What states have the most Slurm jobs?

States with the most job openings for Slurm jobs include:

What job categories do people searching Slurm jobs look for?

The top searched job categories for Slurm jobs are:

Slurm jobs near you
Infographic showing various Slurm job openings in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $106,432 per year, or $51.2 per hour.

Senior HPC and LSF Operations Engineer

Nvidia

Westford, MA • Hybrid

$108K - $148K/yr

Full-time

Re-posted 8 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

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. 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. 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.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply