R&D Lab Operations Manager

🕒 July 28

🏄 California – Remote

🏄 California – Remote

💵 $84k - $143.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Manage lab hardware inventory, including enterprise servers, prototype platforms, chips, fixtures, cables, peripherals, spare parts, and test equipment. • Receive, label, rack, configure, deploy, maintain, and decommission hardware for engineering teams. • Troubleshoot hardware, firmware, system bring-up, part swaps, repair coordination, and RMA workflows for benchtop and in-rack systems. • Track hardware ownership, location, configuration, status, usage, lifecycle stage, and retirement readiness. • Improve lab processes for check-in/check-out, deployment requests, repairs, safety, asset hygiene, and equipment readiness. • Use AI tooling to automate and optimize daily operations rapidly and systematically.

🎯 Requirements

• 5+ years of experience in an engineering lab, data center, hardware validation lab, manufacturing lab, infrastructure lab, or similar technical environment. • Hands-on familiarity with enterprise server hardware, PC components, networking gear, power equipment, lab fixtures, and prototype hardware. • Experience assembling, configuring, troubleshooting, repairing, and deploying hardware systems. • Strong organization skills for inventory, asset tracking, ticketing, documentation, and hardware lifecycle management. • Understanding of ESD practices, lab safety, and safe handling of critical or pre-production hardware. • Bachelors degree or equivalent experience. • Ability to communicate clearly with engineers, program managers, vendors, operations teams, and cross-functional partners.

🏖️ Benefits

• equity • benefits