Thermal Controls R&D Engineer

Advantest

$100K — $130K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's in Mechanical or Electrical Engineering; Master's preferred.
  • 5+ years in control systems engineering, especially thermal applications.
  • Expertise in classical control theory and practical PID implementation.
  • Experience with AI/ML for predictive control optimization.
  • Proficient in simulation tools like MATLAB/Simulink or Modelica.
  • Knowledge of thermal systems like heaters and chillers is essential.
  • Hands-on experience with control hardware and sensors.

Responsibilities

  • Design and implement control algorithms for thermal systems.
  • Develop simulations for thermal dynamics and control performance.
  • Apply classical and AI/ML techniques to system optimization.
  • Integrate control systems into hardware platforms and test performance.
  • Collaborate across teams for thermal controls in semiconductor equipment.
  • Analyze data to enhance system reliability and efficiency.
  • Support digital twin development and predictive maintenance strategies.

Benefits

  • Opportunities for innovation in thermal management.
  • Collaborative work environment across global teams.
  • Potential for professional growth in AI/ML applications.
  • Hands-on experience with advanced thermal control technology.
Full Job Description
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.

Essential Duties & 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.

Requirements, Education & Skills
  • 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.

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