Bachelor's degree in Mechanical Engineering, Systems Engineering, Electrical Engineering, Mechatronics Engineering, or a related discipline.
Extensive experience with automated production equipment or complex automation systems, particularly electromechanical platforms.
Strong electromechanical systems background with a clear understanding of how electrical, mechanical, and controls components interact.
Approximately 5+ years of technical leadership experience leading programs, projects, requirements, interfaces, or system-level activities.
10+ years of engineering experience, with consideration for 7+ years for highly qualified candidates.
Demonstrated experience defining system-level requirements, specifications, and interfaces rather than only validating or testing requirements created by others.
Proficiency in system-level verification and validation processes, including planning, execution, and documentation.
Experience working across mechanical, electrical, software, and controls engineering disciplines in a cross-functional environment.
Strong communication skills, with the ability to convey complex technical information clearly to diverse stakeholders.
Effective collaboration skills, enabling productive teamwork across multiple engineering domains.
Proven problem-solving abilities, including root-cause analysis and structured decision-making in complex technical contexts.
Experience with semiconductor equipment, robotics, automation, motion control, controls engineering, or systems engineering.
Familiarity with Model-Based Systems Engineering (MBSE) methodologies and tools.
Experience with requirements management tools such as Jama or similar platforms.
Knowledge of mechatronics concepts and their application to complex electromechanical systems.
Background in control systems engineering and motion control for automated equipment.
Ability to mentor and guide less experienced engineers in systems engineering practices and tools.
Comfort with conducting design reviews, risk assessments, and structured technical discussions.
Capability to influence system architecture and interface decisions to optimize performance and reliability.