REQUIRED QUALIFICATIONS

• Education:
• Bachelor’s or Master’s degree in Electrical, Mechanical, or Chemical Engineering with coursework in controls.
• A Master’s degree is preferred.
• Experience:
• 1–5 years in manufacturing process controls.
• New graduates with relevant internship experience will be considered.
• Technical Skills:
• Strong understanding of classical control theory, including PID loop tuning and analysis.
• Familiarity with advanced process control technologies (MPC, non-linear, cascade, feed-forward control).
• Programming experience in MATLAB/Simulink.
• Controls-oriented modeling (system identification).
• Soft Skills:
• Proven problem-solving abilities.
• Strong communication and presentation skills.
• Collaborative team player with the ability to work independently.
• Results-oriented and self-motivated with excellent time management.

DESIRED SKILLS

• Programming experience with Python, C++, or .NET languages (C#, Visual Basic).
• Experience or interest in PLC/IEC programming (ladder logic, structured text).
• Familiarity with multivariate statistical process control methods (PCA, PLS).
• Experience implementing and tuning MPC systems.
• Prior work in cross-functional and global teams.

ABOUT THE ROLE

We are seeking a Process Controls Engineer I to support the development of new manufacturing processes and optimize existing processes to drive efficiency and plant profitability. This role offers the opportunity to have a direct impact across diverse business areas by implementing advanced process control technologies in dynamic manufacturing environments.
Ideal candidates will have strong technical curiosity, experience with process control theory, and a desire to take on challenging technical problems while collaborating across multidisciplinary teams.

KEY RESPONSIBILITIES

• Design, develop, and implement classical and advanced process control solutions for manufacturing processes.
• Work with subject matter experts to develop in-depth process knowledge and identify new control opportunities.
• Evaluate and enhance existing control strategies to increase efficiency, yields, and throughput.
• Implement advanced model-based control algorithms such as Model Predictive Control (MPC).
• Work closely with manufacturing teams to define hardware/software platforms for control solutions.
• Support technology transfer to manufacturing and provide training to engineering and plant personnel.
• Generate intellectual property through reports, invention disclosures, and patent applications.