Hardware Validation Engineer, Data Center Engineering Labs

Job description

Manage end-to-end physical deployment, rack-level integration, power-up, and network turn-up of prototype systems and early-stage hardware in the engineering lab. Perform physical reworks on development equipment, including upgrading thermal interface materials (heatsinks, thermal pads) and implementing custom network cabling topologies. Coordinate timelines and logistics for New Product Introductions (NPI), collaborating with design engineers to ensure landing requirements and schedules are met. Develop scripting automation (e.g., Python, Bash) and design custom dashboard monitoring tools to track lab infrastructure health and system metrics. Troubleshoot hardware, OS, and network connectivity issues, keeping Research and Development environments operational while enforcing electrical, physical, and environmental safety standards. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, a related technical field, or equivalent practical experience. 2 years of experience working in a data center operations or facilities technical environment (or 1 year of experience with an advanced degree). Experience in systems validation and testing. Experience with Linux operating systems, networking/cabling infrastructure (fiber/copper), and physical hardware troubleshooting. Preferred Qualifications: Experience with New Product Introduction (NPI) processes, including landing, powering up, and configuring early-stage/prototype hardware. Experience performing physical, component-level thermal rework (thermal paste/pads, heatsinks, liquid cooling loops) and customized networking rework. Experience managing small-to-medium deployment or deployment infrastructure projects, including timeline coordination and stakeholder communication. Experience as a Data Center Facilities Technician with knowledge of power distribution, cooling, and rack-level thermal performance. Ability to write and maintain basic automation scripts (e.g., Python, Bash) and build system/lab monitoring dashboards.