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Senior Engineering Technician – Local AI Automation

Nvidia

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  1. Why do you want to join Nvidia?
  2. What is your experience with Linux? Tell me one thing you learned the hard way.
  3. Walk me through a model you built, from the data to how it was used.
  4. How did you know your model was actually good, and not just good on your test set?
  5. Tell me about a time the data was messy or wrong. What did you do?

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NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The Local AI Automation team is seeking a hands-on Senior Engineering Technician to help scale and sustain a reliable automation lab supporting AI development and validation. You will take a leading role in system bring-up, lab operations, maintenance, issue resolution, and multi-functional coordination to help ensure infrastructure readiness and operational excellence. If you are passionate about building and maintaining reliable Local AI systems and lab infrastructure, this is an excellent opportunity to make a significant impact! What you'll be doing: Set up, cable, configure, and maintain Local AI systems and supporting application and data servers across Windows and Linux environments. Partner with infrastructure teams to coordinate lab space, power, network connectivity, site readiness, and system deployment. Support procurement activities by defining requirements, coordinating with vendors, tracking inventory, and preparing systems for internal and external users. Collaborate with others to gain a clear understanding of hardware and software requirements. Bring online Local AI PCs and desktop systems. Deploy operating system images, install required tools, and support software. Monitor lab health and key operational metrics, restore unavailable systems, and help ensure reliable lab infrastructure. Investigate recurring issues, perform root cause analysis for system downtime, and partner with collaborators to implement corrective actions and automation improvements. Maintain lab safety, cleanliness, organization, and documentation standards. What we need to see: B.Tech or a diploma/degree in computer science, information technology, electronics, or a related field—or equivalent hands-on experience—with 4+ years of relevant experience. Experience supporting lab operations, system bring-up, GPU-based Local AI PCs and desktop systems, and the backend and data server setup used for hosting applications. Hands-on experience installing, upgrading, resolving problems, and maintaining Local AI PCs and desktop systems, in addition to application and database server environments, including GPUs, memory, storage, and firmware, using established technical procedures and documentation. Experience deploying and bringing up Local AI PCs and desktop systems. This includes operating system imaging, configuration, and validation. It also includes supporting servers that host applications and databases for software deployment. Demonstrable understanding of desktop and server environments including Windows OS and Linux distributions, along with foundational networking concepts. Strong problem-solving, communication, and multi-functional partnership skills. Ability to work independently, handle operational issues, and coordinate alongside collaborators to drive timely resolution. Ways to stand out from the crowd: 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. We are an equal opportunity employer and value diversity at our company. With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a hands-on technician who thrives in fast-paced engineering environments, we’d like to hear from you.

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Listed on workday · posted 2026-10-15. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.