Thermal Controls R&D Engineer

Advantest • Chandler, AZ

7h • Onsite

About The Position

Advantest America is a leading provider of semiconductor test and measurement
solutions. As part of our commitment to innovation, we are expanding our Global
Thermal R&D Team to develop advanced thermal control strategies for
next-generation semiconductor test environments.

We are seeking a highly skilled Thermal Controls R&D Engineer with expertise in
control systems engineering, including both classical control theory and modern
AI/ML-based approaches. This role involves designing, modeling, and implementing
control algorithms for complex thermal systems, ensuring precise temperature
regulation under dynamic conditions. The ideal candidate will have strong
practical experience combined with simulation and analytical skills to drive
innovation in thermal management.

Requirements

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Control Systems, or related field; Master’s degree preferred.
• 5+ years of experience in control systems engineering, preferably in thermal or process control applications.
• Strong knowledge of classical control theory and practical implementation of PID and advanced controllers.
• Experience with AI/ML techniques for predictive control and optimization.
• Proficiency in simulation tools (MATLAB/Simulink, Modelica, or similar).
• Familiarity with thermal systems, including heaters, chillers, and phase-change cooling technologies.
• Hands-on experience with sensors, actuators, and embedded control hardware.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work effectively in global, cross-functional teams.
• Willingness to travel domestically and internationally (up to 10%).
• On-site role based at our Lake Forest, CA facility.

Responsibilities

• Design and implement control algorithms for thermal systems, including heaters, chillers, and two-phase cooling loops.
• Develop simulation models for thermal dynamics and control performance using tools such as MATLAB/Simulink or equivalent.
• Apply classical control theory (PID, state-space, adaptive control) and advanced techniques (AI/ML-based predictive control) to optimize system response.
• Integrate control systems into hardware platforms and validate performance through experimental testing.
• Collaborate with cross-functional teams to ensure seamless integration of thermal controls into semiconductor test equipment.
• Analyze system data to improve control strategies and enhance reliability, efficiency, and robustness.
• Support development of digital twins and predictive maintenance strategies using machine learning.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level