Senior Engineering Technician – Local AI Automation
NVIDIA · Posted Oct 15
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's Local AI Automation team runs a hands-on automation lab that supports AI development and validation, covering system bring-up, lab operations, maintenance, and issue resolution. The work spans Local AI PCs, desktop systems, and the application and data servers that host them across Windows and Linux environments, including GPUs, memory, storage, and firmware. This senior technician role leads lab readiness, deployment and imaging, monitoring, procurement coordination, and root cause analysis to keep infrastructure reliable.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Preferred 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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