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NVIDIA

Designs the chips and software that power AI

Senior Engineering Technician - Local AI Automation

System AdministrationConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A B.Tech, diploma, or degree in computer science, information technology, electronics, or a related field, or equivalent hands-on experience, and at least 4 years of relevant experience.
  • Experience supporting lab operations, system bring-up, GPU-based Local AI PCs and desktop systems, and backend and data server setup for hosting applications.
  • Hands-on experience installing, upgrading, troubleshooting, and maintaining Local AI PCs and desktop systems, application and database server environments, GPUs, memory, storage, and firmware using established technical procedures and documentation.
  • Experience deploying and bringing up Local AI PCs and desktop systems, including operating system imaging, configuration, validation, and support for servers hosting applications and databases for software deployment.
  • Understanding of desktop and server environments, including Windows operating systems, Linux distributions, and foundational networking concepts.
  • Ability to work independently, handle operational issues, and coordinate with collaborators to drive timely resolution.

Responsibilities

  • Set up, cable, configure, and maintain Local AI systems and supporting application and data servers across Windows and Linux environments.
  • Coordinate lab space, power, network connectivity, site readiness, and system deployment with infrastructure teams.
  • Support procurement by defining requirements, coordinating with vendors, tracking inventory, and preparing systems for internal and external users.
  • Collaborate to clarify hardware and software requirements, bring Local AI PCs and desktop systems online, deploy operating system images, install required tools, and support software.
  • Monitor lab health and operational metrics, restore unavailable systems, and help ensure reliable lab infrastructure.
  • Investigate recurring issues, perform root cause analysis for system downtime, and work with collaborators on corrective actions and automation improvements.
  • Maintain lab safety, cleanliness, organization, and documentation standards.

Desired Qualifications

  • Experience with hardware bring-up, debugging, and failure isolation for Local AI PCs and desktop systems, as well as servers supporting software deployment and data management.
  • Familiarity with lab health monitoring, downtime analysis, and root cause investigation.
  • Scripting or automation experience using Python, Bash, or similar tools.
  • Ability to manage multiple concurrent tasks with minimal direction in prototype or fast-paced engineering environments.

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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