Senior Technical Support Engineer – Slurm

NVIDIA•Austin, TX

9d•$108,000 - $207,000

About The Position

NVIDIA is seeking a Technical Support Engineer dedicated to supporting Slurm for customers running production AI and high-performance computing clusters. The position joins a team of Slurm subject-matter guides and owns sophisticated support cases, helping customers operate reliable, efficient, and highly scalable environments. It requires extensive production experience with Slurm and the ability to diagnose issues across the scheduler and related Linux, networking, storage, authentication, database, and GPU environments. The engineer owns support cases from initial investigation through resolution, diagnoses complex scheduler and infrastructure issues, advises customers on configuration and operational practices, and collaborates with engineering on defects. The role also contributes guides, knowledge-base articles, diagnostic tools, and internal training to strengthen Slurm expertise across the support organization.

Requirements

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.
Ability to independently identify sophisticated Slurm incidents and guide them to a technically sound resolution.
In-depth Linux system-administration and troubleshooting 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, including the ability to distinguish 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.

Nice To Haves

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.

Responsibilities

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.
Resolve Slurm configuration and policy issues involving 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 related dependencies, including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems.
Advise customers on Slurm configuration, upgrades, operational practices, system-resource management, 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 to strengthen Slurm expertise across the support organization.