Manufacturing Automation Engineer - Liquid Cooling

Required Qualifications

• Bachelor's degree in one of the following: Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Mechatronics Engineering, Industrial Engineering, Automation Engineering, or a related field of study.
• 5+ years of experience in manufacturing automation, controls engineering, equipment engineering, robotics engineering, or advanced manufacturing engineering.
• Experience leading automation projects from concept through production implementation.
• Experience with equipment commissioning, validation, and production startup activities.
• Strong understanding of robotics, industrial automation systems, machine controls, industrial sensors, and manufacturing equipment integration.
• Experience conducting root cause analysis and implementing corrective actions for equipment and process failures.
• Experience with statistical analysis, process improvement methodologies, and data-driven decision making.
• Excellent project management, communication, and cross-functional leadership skills.
• Strong troubleshooting and problem-solving abilities within a manufacturing environment.

Preferred Qualifications

• Experience with liquid cooling manufacturing systems.
• Automated leak testing, pressure testing, coolant fill, flush, and purge systems.
• Automated fluid handling equipment and cooling system assembly processes.
• Experience with robotics integration, machine vision systems, automated assembly equipment, and industrial control systems.
• PLC-controlled manufacturing equipment and automated material handling systems.
• Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Reliability engineering methodologies and predictive maintenance programs.
• New Product Introduction (NPI) and production ramp activities.
• Experience manufacturing server, storage, networking, rack-level, or data center hardware products.
• AI infrastructure, GPU server platforms, or advanced compute manufacturing environments.
• This role will be a key contributor in launching and scaling next-generation liquid cooling manufacturing technologies supporting the rapid growth of AI and high-performance computing infrastructure. You will have the opportunity to work with advanced automation technologies, lead major equipment deployments, and help build world-class manufacturing capabilities for some of the industry's most innovative data center and compute platforms.
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Responsibilities

• Design, implement, validate, and optimize manufacturing automation systems supporting liquid cooling assembly operations.
• Own the full equipment lifecycle including specification development, supplier coordination, procurement support, FAT, SAT, commissioning, production launch, and sustaining support.
• Design, analyze, modify, integrate, and validate robotics, automation systems, control systems, tooling, and manufacturing equipment.
• Coordinate factory readiness activities including equipment installation, utilities integration, production qualification, and operational handoff.
• Develop validation strategies, qualification plans, and acceptance criteria for new automation equipment and manufacturing systems.
• Create and execute equipment validation protocols and production readiness plans.
• Support introduction of new manufacturing technologies related to liquid-cooled server systems and advanced compute platforms.
• Lead root cause investigations for equipment failures and production issues using structured problem-solving methodologies such as 8D, DMAIC, Fishbone, and 5 Why analysis.
• Drive equipment reliability improvements through preventative maintenance strategies, predictive maintenance initiatives, and reliability engineering methodologies.
• Collaborate with equipment vendors to customize, improve, and optimize manufacturing solutions to meet production and quality requirements.
• Develop and maintain equipment standards, operating procedures, maintenance plans, and technical documentation.
• Implement process monitoring solutions using sensors, controls, data collection systems, and automation technologies to improve operational visibility and equipment performance.
• Analyze equipment performance data, downtime trends, yield metrics, and reliability indicators to identify improvement opportunities.
• Support automation roadmap development and future-state manufacturing strategy.
• Ensure compliance with all safety, environmental, quality, and regulatory requirements.