Senior Platform and EngOps Engineer - Cluster Operations

About the role

NVIDIA is seeking EngOps and Platform Engineers to join a team that develops and maintains software facilitating GPU communication, driving groundbreaking solutions in High Performance Computing and Deep Learning.

Responsibilities

• Develop automated tools to efficiently deploy, provision, and maintain extensive GPU clusters interconnected via NVLink and InfiniBand
• Implement modern DevOps tools to automate software updates, perform maintenance tasks, and monitor cluster availability, ensuring seamless operations
• Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain optimal cluster availability and performance
• Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruptions
• Collaborate effectively with dynamic Engineering and Product Teams across multiple time zones to align cluster operations with evolving project requirements

Requirements

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience
• 8+ years of hands-on experience in deploying and administrating clusters, servers, switches, and related infrastructure
• Automation expert with hands-on skills in Ansible, Python and Shell Scripting
• Deep understanding of operating systems, computer networks, and high-performance applications
• Proven ability to work effectively with developers and test engineers across different teams and time zones
• Proficient with Linux fundamentals

Qualifications

• Familiarity with resource scheduling managers, preferably Slurm
• Direct experience with industry standard alerting tools and emergency response practices
• Hands-on experience with GPU-focused hardware and software, such as DGX systems and Compute Clusters
• Proficiency in crafting and implementing a robust metrics collection and alerting infrastructure
• Proficiency in designing large scale networking technologies and the associated challenges

Skills

• Automation Expertise
• Linux Fundamentals
• Resource Scheduling Managers
• Industry Standard Alerting Tools
• GPU-Focused Hardware and Software
• Metrics Collection and Alerting Infrastructure
• Large Scale Networking Technologies

Benefits

• Base Salary Range: $176,000 - $276,000 for Level 4, and $208,000 - $333,500 for Level 5
• Eligibility for Equity and Benefits

Pay

• Base Salary Determined Based on Location, Experience, and Similar Positions

Schedule

• Open Until July 9, 2026