Senior Platform and EngOps Engineer - Cluster Operations

at Nvidia

📍 Santa Clara, United States

USD 176,000-333,500 per year

SENIOR

✅ On-site

Tech Stack
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AI Ansible @ 6 Deep Learning DevOps GPU @ 4 HPC InfiniBand Linux @ 6 NVLink Networking @ 6 Python @ 6 Slurm @ 3

Details

NVIDIA is developing solutions in Artificial Intelligence, High-Performance Computing, and Visualization. The team develops and maintains software that facilitates GPU communication and supports High-Performance Computing and Deep Learning. This role focuses on improving execution efficiency while managing and maintaining large GPU clusters interconnected via NVLink and InfiniBand.

Responsibilities

Develop automated tools to 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.
Take ownership of daily cluster failures and issues, troubleshooting them promptly to maintain cluster availability and performance.
Manage the rollout and rollback of cluster software and firmware updates, ensuring smooth transitions and minimal disruption.
Collaborate with Engineering and Product Teams across multiple time zones to align cluster operations with evolving project requirements.

Requirements

Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
At least 8 years of hands-on experience deploying and administering clusters, servers, switches, and related infrastructure.
Automation expertise with hands-on skills in Ansible, Python, and shell scripting.
Deep understanding of operating systems, computer networks, and high-performance applications.
Ability to work effectively with developers and test engineers across different teams and time zones.
Proficiency with Linux fundamentals.

Preferred 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 designing and implementing robust metrics collection and alerting infrastructure.
Proficiency in designing large-scale networking technologies and addressing associated challenges.

Compensation and Benefits

The base salary range is $176,000–$276,000 USD for Level 4 and $208,000–$333,500 USD for Level 5. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role is also eligible for equity and benefits.

Applications will be accepted at least until August 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.