Technical Support Engineer

NVIDIA is seeking a Technical Support Engineer to join a dedicated team of Slurm subject-matter guides. The successful candidate will own sophisticated support cases and help customers run reliable, efficient, and highly scalable clusters.

Job Summary: As a Technical Support Engineer, you will be responsible for supporting Slurm for NVIDIA's customers. You will join a team of experts who will rely on you to resolve complex issues and provide guidance on Slurm configuration, upgrades, and operational practices.

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 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.

Requirements:

• BSc 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.

Nice to Have:

• 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.