Senior Technical Support Engineer – Slurm

NVIDIA Gruppe; Austin (TX); On-site; USD 108,000 - 173,000; Full time

Benefits offered by this job

Equity

Benefits package

Career growth

Job summary

NVIDIA is seeking a Technical Support Engineer to own Slurm cases in production AI and HPC deployments. You will diagnose and resolve complex scheduling and system issues across Slurm daemons, Linux, and related components, helping customers achieve reliable, scalable workloads.

The role emphasizes strong problem-solving, documentation, and collaboration with engineering to deliver actionable guidance and improvements. Equity and comprehensive benefits are offered.

Qualifications

• BS degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of hands-on experience administering and supporting Slurm in production HPC or AI environments.
• Expert-level understanding of Slurm architecture, daemons, configuration, scheduling behavior, accounting, resource management, and failure modes.
• Ability to identify sophisticated Slurm incidents independently and guide to resolution.
• In-depth Linux system-administration and solved experience, including systemd, cgroups, authentication, networking, and database-backed services.
• Experience operating Slurm across multi-user clusters with complex scheduling policies and heterogeneous compute resources.
• Strong analytical and research skills with ability to distinguish Slurm defects from other problems.
• Excellent written and verbal communication skills to explain findings clearly.

Responsibilities

• Own Slurm support cases from investigation through resolution for production AI/HPC clusters.
• Diagnose complex problems involving slurmctld, slurmd, slurmdbd, scheduling, node management, and resources.
• Investigate performance, reliability, and scalability issues using logs and configurations.
• Isolate problems across Slurm and dependencies like Linux, MUNGE, databases, networking, and GPUs.
• Advise customers on Slurm configuration, upgrades, and operational practices.
• Collaborate with engineering to produce clear defect reports and training materials.
• Develop guides and diagnostic tools to strengthen Slurm expertise across the team.

Skills

Slurm expert

Linux administration

Troubleshooting

Customer support

Documentation

Communication skills

Education

BS in CS/Engineering

Tools

Slurm daemons

Lua

SPANK

Containers

Pyxis

Job description

At NVIDIA, 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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Slurm is a critical workload manager for many of the globe’s most intense and fast paced AI and high-performance computing environments. We are looking for a Technical Support Engineer dedicated to supporting Slurm for NVIDIA’s customers. You will join a dedicated team of Slurm subject-matter guides, owning sophisticated support cases and helping customers run reliable, efficient, and highly scalabable. This role requires extensive production experience with Slurm. It demands skill in diagnosing issues in the scheduler and Linux, networking, storage, authentication, database, and GPU environments. frastructure.

What you’ll be doing:

• Own Slurm support cases from initial investigation through resolution for customers running production AI and HPC clusters.
• Diagnose complex problems involving slurmctld, slurmd, slurmdbd, job scheduling, node management, resource allocation, accounting, authentication, and high availability.
• Solve Slurm configuration and policy features, including partitions, reservations, priorities, fair-share, quality of service, backfill, preemption, GRES/TRES, cgroups, and job constraints.
• Investigate performance, reliability, and scalability issues using logs, diagnostic data, configuration analysis, reproductions, and source-level debugging when required.
• Isolate problems across Slurm and its surrounding dependencies, including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems.
• Advise customers on Slurm configuration, upgrades, operational practices, managing system resources, and safe recovery from production incidents.
• Collaborate with engineering teams by producing clear technical descriptions, reproducible test cases, and well-supported defect reports.
• Develop guides, knowledge-base articles, diagnostic tools, and internal training that strengthen Slurm expertise across the support organization.

What we need to see:

• BS degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of hands-on experience administering and supporting Slurm in production HPC or AI environments including business-critical outage incidents.
• Expert-level understanding of Slurm architecture, daemons, configuration, scheduling behavior, accounting, resource management, and failure modes.
• Capacity to identify sophisticated Slurm incidents independently and guide them to a technically sound resolution.
• In-depth Linux system-administration and solve experience, including systemd, cgroups, authentication, networking, and database-backed services.
• Experience operating Slurm across multi-user clusters with complex scheduling policies and heterogeneous compute resources.
• Strong analytical and research skills, showing proficiency in distinguishing Slurm defects from configuration, integration, infrastructure, and workload problems.
• Excellent written and verbal communication skills, including the ability to turn detailed technical findings into clear explanations and actionable recommendations.

Ways to stand out from the crowd:

• Experience supporting large-scale Slurm environments containing thousands of nodes or GPUs.
• Experience diagnosing scheduler performance, job-throughput, controller-load, and database-scaling issues.
• Familiarity with Slurm source code, plugins, SPANK, Lua job-submit plugins, or upstream issue investigation.
• Experience with containers and HPC integration technologies such as Pyxis, Enroot, Apptainer, or Singularity.
• Previous experience integrating Slurm with NVIDIA Base Command Manager, Bright Cluster Manager, or another cluster-management platform.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD for Level 3, and 120,000 USD - 207,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 15, 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.