Controls, Automation & Mechatronics Engineer

About The Role

The Staff Controls, Automation & Mechatronics Engineer will be at the forefront of designing and implementing advanced automation solutions that drive efficiency, scalability, and quality in our server manufacturing operations. This role requires a strong foundation in Controls and mechatronics engineering, combining mechanical, electrical, and software systems to develop integrated automation solutions.

• Contribute to transformation initiatives, helping set new standards for how we approach manufacturing risk analysis, quality, and continuous improvement.
• Define and implement new systems, processes, or frameworks that support the smart factory vision, including automation, metrology, advanced inspection and testing, and predictive analytics.
• Support NPI (New Product Introduction) by developing scalable automation strategies aligned with product roadmaps.
• Design and implement automated assembly and test equipment for server components, including PCBs, power modules, and cooling systems.
• Collaborate with cross‑functional teams to ensure Design for Manufacturability (DFM) and Design for Automation (DFA) principles are embedded in new product designs.
• Translate DFM and PFMEA outputs into actionable process controls, ensuring proactive prevention of variation rather than reactive correction.
• Develop and optimize mechatronic systems integrating robotics, sensors, actuators, PLCs, vision systems, motion control and software.
• Leverage data-rich environments and tools to generate insights and drive continuous improvement initiatives focused on yield, reliability, cycle time, and throughput.
• Work with equipment vendors to specify, validate, and install automation solutions for medium-to-high-volume production.
• Apply manufacturing techniques such as precision fastening, soldering, adhesive bonding, and vision‑based inspection.
• Lead tool qualification, process documentation, and operator training for new equipment.
• Use data‑driven methods (SPC, FMEA, DOE) to troubleshoot and enhance manufacturing performance.
• Analyze production workflows to identify automation opportunities and optimize cycle times, throughput, and reliability of automated systems.
• Implement automated inspection and testing systems to ensure product quality.
• Maintain compliance with safety, environmental, and industry standards.
• Create detailed documentation for automated systems, including SOPs and training materials.
• Provide technical support and training to production teams.

• Advanced degree in Engineering, Computer Science, Data Science, or a related field.
• 8+ years of experience in high-volume, high-complexity manufacturing.
• Proficiency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets.
• Track record of driving measurable improvements in yield, reliability, or process robustness.
• Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, semiconductor).
• Proficiency in CAD tools (Solid Works, AutoCAD) and industrial automation platforms (Siemens, Allen‑Bradley, etc.).
• Controls Engineering
  
  Skills:
  
  Advanced proficiency in PLC programming (Codesys, Siemens, Beckhoff, etc.), HMI/SCADA development, motion control (servo, stepper systems), PID loops, multi-axis control systems, high-speed machine control, automation systems design, robotic cells, automated test equipment, material handling & conveyance systems, industrial protocols (Ether
  
  CAT, Ethernet/IP, Profi Net, Modbus TCP), control architectures & safety systems.
• Mechanical & Mechatronics Systems understanding of actuators, sensors, power transmission, machine design; integrating robotics, pneumatics & hydraulics, vision systems, instrumentation & measurement.
• Software & Scripting:
  Python (automation, data logging, test scripts), C/C++ (embedded systems), MATLAB/Simulink (controls modeling), LabVIEW.
• Nice to Haves:
  Exposure to AI/ML toolsets for predictive analytics or anomaly detection; MBA or business, finance or economics experience.

• Typical base salary $93,000-$136,400 per year.
• Competitive…