TOP REQUIRED SKILLS/EXPERIENCE

1–5 years manufacturing experience with:

• Strong understanding and practical application of classical control theory, including PID control loop tuning and analysis
• Familiarity with advanced process controls technologies such as MPC, non-linear approaches, cascade control, and feed-forward control
• Programming experience in MATLAB/Simulink
• Controls-oriented modeling (system identification)
• Bachelor’s degree is required; new graduates with relevant internship experience will be considered

TRAVEL REQUIREMENTS

• Travel will depend on active projects; domestic travel can be as much as 25%

REQUIRED EDUCATION

• Bachelor’s or Master’s degree in Electrical, Mechanical, or Chemical Engineering with coursework focused on controls
• A Master’s degree is preferred

REQUIRED EXPERIENCE

• 1 to 5 years of experience in industry on manufacturing processes
• New graduates with related internship experience will be considered

REQUIRED SKILLS

• Strong understanding and practical application of classical control theory, including PID control loop tuning and analysis
• Familiarity with advanced process controls technologies such as MPC, non-linear approaches, cascade control, and feed-forward control
• Programming experience in MATLAB/Simulink
• Controls-oriented modeling (system identification)
• Proven problem-solving abilities
• Strong verbal and written communication skills
• Excellent interpersonal skills
• Ability to prepare and present presentations effectively
• Ability to work in a manufacturing environment
• Functions well on projects and team initiatives as well as independent assignments
• Results-oriented, self-motivated individual with a track record of meeting commitments and managing time well
• Values the strength of diverse team membership and is accountable to the team

DESIRED SKILLS

• Strong technical curiosity with desire to take on challenging technical problems
• Programming in a variety of languages such as Python, C++, or .NET languages, such as C# and Visual Basic
• Experience or a strong desire to learn PLC and other IEC-based programming (ladder, structured text)
• Experience working in or leading cross-functional and global teams
• Experience with MPC implementation and maintenance/tuning
• Experience in applying multivariate statistical process control methods, such as principal component analysis (PCA) and partial least squares (PLS) regression for process monitoring and analysis
  Job Type: Full-time
  Pay: $24.00 - $30.00 per hour
  Expected hours: 40 per week

Benefits:

• 401(k)
• Health insurance
• Vision insurance

Work Location: In perso

ROLE TYPE:

• Local candidates strongly preferred, but open to non-local candidates willing to relocate at their own expense
• Interview process: Phone screen, then onsite interview preferred (if candidate is local)

PURPOSE

We are seeking a Process Controls Engineer to support the development of new manufacturing processes and the optimization/improvement of existing processes to provide competitive advantage. This is an opportunity to have significant impact through increased process efficiency and/or plant profitability across a wide variety of processes and plants in diverse business areas.
The position will focus on the design, development, and implementation of classical and advanced process controls solutions within dynamic manufacturing environments. The ideal candidate will have strong technical curiosity and a desire for project leadership opportunities. There will be a large emphasis on the application of controls theory, as well as strong interpersonal skills to function effectively within cross-functional and diverse project teams.

JOB RESPONSIBILITIES

Specific job responsibilities will depend upon the active project and may include but are not limited to:

• Working individually or alongside experienced professionals in multi-disciplinary teams to design, develop, and implement process controls solutions for manufacturing processes
• Working with subject matter experts to develop in-depth process knowledge and fundamental understanding of manufacturing processes to identify new promising process control opportunities
• Evaluating existing process control strategies and proposing and developing enhancements/improvements to increase process efficiency and plant profitability (e.g., via increased yields or throughput); this could include enhancing PID-based control strategies with cascade control, feedforward, gain-scheduling, optimized loop pairing, or applying advanced, model-based control algorithms such as model predictive control (MPC) or internal model control (IMC)
• Developing and maintaining MPC-based process control solutions throughout the organization
• Working closely with manufacturing to define appropriate hardware and software platforms for implementing process control solutions
• Facilitating the transfer of new process control technologies into manufacturing and providing training to manufacturing and engineering personnel
• Generating intellectual property through technical reports, invention disclosures, and patent applications