Technical Support Engineer – Slurm
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Job Description
Technical Support Engineer supporting NVIDIA customers with production Slurm AI and HPC clusters. Diagnosing scheduler, Linux, networking, storage, authentication, database, and GPU infrastructure issues.
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
- Solve 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 dependencies including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems
- Advise customers on Slurm configuration, upgrades, operational practices, resource management, and safe recovery from production incidents
- Collaborate with engineering teams through 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
Requirements:
- BS degree in Computer Science, Engineering, or a related field, or equivalent practical 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 technically sound resolutions
- 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 distinguishing Slurm defects from configuration, integration, infrastructure, and workload problems
- Excellent written and verbal communication skills, including turning detailed technical findings into clear explanations and actionable recommendations
- 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
Benefits:
- Diverse, supportive work environment
- Opportunities to make a lasting impact on the world
- Full-time employment
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