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.
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.Skills Required
- Bachelor's degree in Computer Science, IT, Engineering, or equivalent experience
- 2+ years supporting Linux-based production environments
- Solid Linux systems administration fundamentals (RHEL/CentOS and/or Ubuntu)
- Ability to troubleshoot technical issues methodically and escalate appropriately
- Experience interacting directly with users in a technical support or operations role
- Strong written communication skills for documentation and procedural guides
- Demonstrated ability to follow established processes with attention to detail
- Foundational scripting or automation experience (Bash or Python)
- Understanding of workload schedulers such as LSF, Slurm, or similar
- Knowledge of network computing infrastructure (NFS, automounter, LDAP)
- Experience supporting HPC or large-scale compute environments
- Familiarity with EDA workloads
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
