Engineering Technician, Datacenter Performance

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.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In this role you will be working with a team of HW/SW engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products.​​​​

• →Deploy, operate, and maintain GPU and compute infrastructure in a hardware lab, partnering with hardware, firmware, software, and engineering teams.
• →Coordinate rack shipments, receiving, placement, and installation, including power, cooling, and network connections.
• →Troubleshoot system issues across hardware, firmware, and software; drive root-cause investigation and coordinate corrective actions with the responsible engineering teams.
• →Service systems, including replacing components, cables, and compute trays.
• →Manage system and rack enrollment, configuration, and removal through 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 system diagnostics and system health checks before releasing hardware to engineering teams.
• →Develop scripts and automation to simplify routine maintenance, diagnostics, configuration checks, and inventory tracking.
• →Maintain accurate hardware inventory, IP address reservations, and connectivity records; document procedures and share knowledge with team members.

• Ability to work on site in a hardware lab environment 5 days a week.
• Associate degree in electronics, computer technology, or a related field, or equivalent hands-on experience.
• 5+ years of experience operating 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.

• 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 that help others support the infrastructure.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.