As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you will be part of a world-class team that powers semiconductor build and advanced engineering workflows. By joining us, you will help develop the future of computing while being immersed in an innovative and encouraging environment.

What you'll be doing:

Provide first-line support for HPC users across scheduling, compute, storage, and access-related issues
Troubleshoot job failures, scheduler errors, resource constraints, and performance concerns, driving issues to resolution or appropriate customer concern
Perform triage of infrastructure incidents, gathering diagnostics and advancing to subject matter experts (SMEs) when issues extend beyond defined ownership
Monitor system health, queues, node status, and service availability to ensure stable daily operations
Complete established operational procedures for maintenance, patching, and configuration updates
Develop and maintain operational documentation, runbooks, knowledge base articles, and guidelines for users and internal teams
Contribute to improving team processes by identifying recurring issues and proposing practical workflow refinements

What we need to see:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent experience
2+ years of experience supporting Linux-based production environments
Solid Linux systems administration fundamentals (RHEL/CentOS and/or Ubuntu)
Ability to troubleshoot technical issues methodically and determine when a customer concern requires attention
Experience interacting directly with users in a technical support or operations role
Strong written communication skills with the ability to produce clear documentation and procedural guides
Demonstrated ability to follow established processes while maintaining attention to detail

Ways to stand out from the crowd:

Foundational scripting or automation experience (e.g., Bash or Python) sufficient to support routine operational tasks
Solid understanding of workload schedulers such as LSF, Slurm, or similar systems
Strong grasp of network computing supporting infrastructure (NFS, automounter, LDAP)
Experience supporting HPC or large-scale compute environments
Familiarity with EDA workloads

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology!

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

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