Lead Test Engineer IV – Liquid Cooling - Advanced Compute LC

Key Responsibilities

• Develop, maintain, and lead test procedures, test systems, hardware, and software for advanced compute platforms.
• Lead failure analysis and root cause investigations across hardware and software domains.
• Troubleshoot complex server, networking, storage, and accelerator-based systems.
• Support AI/ML, GPU, and high-performance compute platforms through integration and production.
• Analyze manufacturing and system data using Excel and Power BI.
• Support NPI (New Product Introduction) readiness and production ramp.
• Configure and troubleshoot networking systems (switches, routers, LAN/WAN, Layer 3).
• Support optical networking technologies (transceivers, fiber optics).
• Utilize and train others on Linux command-line tools and scripting.
• Apply heat transfer, thermodynamics, and fluid mechanics principles to liquid cooling systems.
• Work with components such as pumps, cold plates, chillers, reservoirs, tubing, and coolants (e.g., PG25).
• Use instrumentation including thermocouples, flow meters, and pressure sensors.
• Perform leak detection, material compatibility analysis, and coolant safety procedures.
• Support immersion and direct-to-chip cooling technologies.
• Work with OCP standards, BMS/SCADA systems, and specialized equipment (particle analyzers, pressure testers, fill/flush/purge systems).

Leadership & Management Responsibilities

• Lead, mentor, and develop Test Engineers and technicians.
• Recruit, interview, and retain top talent.
• Build training programs and develop team capabilities.
• Set measurable goals aligned with operational and business objectives.
• Provide coaching, feedback, and performance evaluations.
• Drive continuous improvement in productivity, quality, and engagement.
• Align test engineering strategy with site and organizational goals.
• Lead workcell test engineering teams and customer programs.
• Present technical findings and communicate effectively with stakeholders and customers.
• Apply LEAN manufacturing principles and quality metrics (Yield, GRR, DPPM).
• Identify cost reduction opportunities through process optimization and automation.
• Monitor test performance and implement improvements across programs.