Senior Controls Engineer

Howmet Aerospace•Whitehall, MI

About The Position

The Senior Controls Engineer designs, programs, installs, maintains, troubleshoots, optimizes, and upgrades industrial control systems, including PLC, SCADA, DCS, and robotics. The role integrates AI and machine-learning outputs into control loops and edge-computing systems to enable adaptive automation, real-time decision-making, predictive-maintenance triggers, and anomaly-based shutdowns. The engineer supports reliable, safe, and scalable factory-floor operations and helps advance Industry 4.0 capabilities. The role calls for a hands-on, systems-oriented, data-informed approach to analysis, continuous improvement, and standardization. The engineer works with plant leadership and stakeholders across shifts, serves as a liaison between the shop floor and engineering, and promotes safe, ergonomic, and scalable solutions. The position also involves anticipating issues, prioritizing responses, and helping teams adopt improvements that support measurable business outcomes.

Requirements

  • Bachelor of Science in Electrical Engineering or Controls Engineering from an accredited institution.
  • At least 3 years of experience in manufacturing.
  • Legally authorized to work in the United States; employment eligibility will be verified at hire.
  • Visa sponsorship is not available.

Nice To Haves

  • Strong PLC skills, including Allen-Bradley or Siemens.
  • HMI and networking skills.
  • Experience with Python or AI edge tools.
  • At least 3 years of automation experience in a manufacturing environment.

Responsibilities

  • Design, program, install, and maintain industrial control systems, including PLC, SCADA, DCS, and robotics.
  • Integrate AI and machine-learning outputs into control systems for adaptive control and edge computing.
  • Integrate AI outputs into control loops, including predictive-maintenance triggers and anomaly-based shutdowns.
  • Troubleshoot, optimize, and upgrade existing automation systems.
  • Collaborate with plant leadership to identify and drive improvements informed by AI.
  • Promote system reliability, safety, ergonomics, scalability, and standardization.
  • Serve as a liaison between the shop floor and engineering and build relationships across shifts and teams.
  • Use data and quantitative feedback to guide decisions and continuous improvement.
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