Technical Support Engineer – Slurm

🔥 12 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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