Engineering Technician, Datacenter Performance

NVIDIA•Us, CA

17d•Onsite

About The Position

NVIDIA is seeking an Engineering Technician to support datacenter performance in its hardware lab. The role involves deploying, operating, and maintaining GPU and compute infrastructure while collaborating with hardware, firmware, software, and engineering teams. The technician coordinates rack delivery and installation, troubleshoots system issues, services equipment, manages system enrollment and configuration, performs updates and diagnostics, and develops automation for routine operational tasks. The role requires working onsite in a hardware lab five days a week.

Requirements

Ability to work onsite in a hardware lab five days a week.
Associate degree in electronics, computer technology, or a related field, or equivalent hands-on experience.
At least 5 years of experience in a technician capacity.
Hands-on experience operating, servicing, and troubleshooting server or datacenter infrastructure, including GPU-based systems.
Ability to investigate hardware, firmware, and software failures, collect diagnostic evidence, and work with engineering teams to resolve issues.
Familiarity with x86 and Arm server architectures, GPU hardware, and common server components.
Comfort using Linux command-line tools for system diagnostics, firmware updates, and configuration management.
Experience with hardware provisioning and cluster management tools.
Working knowledge of scripting or automation tools used to reduce repetitive tasks and improve operational consistency.
Familiarity with rack power, cooling, network cabling, IP addressing, and safe hardware handling.
Strong organizational skills and attention to detail in maintaining inventory, configuration records, and technical documentation.

Nice To Haves

Experience supporting pre-production GPU platforms, high-density racks, or liquid-cooled systems.
Experience automating system provisioning, health checks, firmware updates, or configuration management using Python, shell scripting, Ansible, or similar tools.
Experience validating system readiness before engineering handoff and creating procedures or training materials to help others support the infrastructure.

Responsibilities

Deploy, operate, and maintain GPU and compute infrastructure in a hardware lab in partnership with hardware, firmware, software, and engineering teams.
Coordinate rack shipments, receiving, placement, and installation, including power, cooling, and network connections.
Troubleshoot hardware, firmware, and software issues; investigate root causes and coordinate corrective actions with responsible engineering teams.
Service systems by replacing components, cables, and compute trays.
Manage system and rack enrollment, configuration, and removal using cluster management and provisioning software such as NVIDIA Base Command Manager (BCM) or NVIDIA Infra Controller (NICo).
Perform firmware and software updates, verify system configurations, and run diagnostics and health checks before releasing hardware to engineering teams.
Develop scripts and automation for routine maintenance, diagnostics, configuration checks, and inventory tracking.
Maintain hardware inventory, IP address reservations, and connectivity records; document procedures and share knowledge with team members.