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About the Role
NVIDIA is seeking a Technical Support Engineer dedicated to supporting Slurm for its customers. This role involves owning sophisticated support cases, helping customers run reliable, efficient, and highly scalable AI and high-performance computing environments.
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
- 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.
Skills
- Slurm
- Linux system administration
- systemd
- cgroups
- authentication
- networking
- database-backed services
- MUNGE
- parallel storage
- containers
- GPUs
- cluster-management systems
- Pyxis
- Enroot
- Apptainer
- Singularity
- NVIDIA Base Command Manager
- Bright Cluster Manager
Location
- Remote
Work Type
- Full-time
Experience Level
- 5+ years
Education Level
- BS degree in Computer Science, Engineering, or a related field, or equivalent experience.
Salary/Compensations
- 108,000 USD – 172,500 USD for Level 3
- 120,000 USD – 207,000 USD for Level 4
Benefits
- Equity
- Comprehensive benefits package
About the Company
- At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing.
- Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Equal Opportunity
- 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.