Full-Time

Platform and Engops Engineer

Cluster Operations

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$148k - $287.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
DevOps & Infrastructure
Platform Engineering
DevOps Engineering
Required Skills
Python
Operating Systems
Ansible
Development Operations (DevOps)
Linux/Unix

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience.
  • 5+ 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.
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.
Desired 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.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through hardware sales, software licenses, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance applications in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match

INACTIVE