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NVIDIA

Designs the chips and software that power AI

Lab Infrastructure and Integrated Systems Engineer

System AdministrationConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A Practical qualification or Bachelor of Science in Computer Science or Electrical/Electronic Engineering.
  • At least 2 years of experience in infrastructure support, lab operations, or related hardware-based environments.
  • Hands-on experience installing, maintaining, and safely handling liquid cooling technologies.
  • Proficiency with Linux, Bash scripting, and common IT troubleshooting methods.
  • Familiarity with enterprise servers, networking equipment, and server management.
  • Strong organizational, documentation, and time-management skills with attention to detail.
  • Ability to work independently, prioritize urgent tasks, and deliver under tight deadlines.
  • Excellent written and oral English communication skills.

Responsibilities

  • Operate and maintain lab infrastructure, including racking, cabling, servers, networking, and cooling systems.
  • Perform physical racking, stacking, cabling, and cooling infrastructure setup.
  • Install and maintain liquid cooling systems for lab equipment, including manifold connections, cold plate maintenance, leak detection, and coolant management.
  • Provide first-line support to internal engineering teams by translating technical requests into executable infrastructure tasks.
  • Maintain structured inventory and asset tracking to support efficient lab operations and hardware allocation.
  • Collaborate with QA, R&D, and DevOps teams to enable lab support and system deployment.
  • Document and implement standard operating procedures, safety practices, and hardware lifecycle policies.
  • Implement solutions for automated workflows, equipment monitoring, and lab performance analysis.

Desired Qualifications

  • Experience with NVIDIA platforms, DOCA, or DPU labs.
  • Knowledge of lab automation, DevOps pipelines, or CI/CD integration in test environments.
  • Experience with liquid-cooled high-density racks or data center thermal optimization.
  • Familiarity with inventory management systems and hardware documentation tools.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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