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Controls Engineer

Job in Keene, Cheshire County, New Hampshire, 03431, USA
Listing for: Conspicuous
Full Time position
Listed on 2026-02-14
Job specializations:
  • Engineering
    Automation Engineering, Electrical Engineering, Systems Engineer, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 125000 USD Yearly USD 125000.00 YEAR
Job Description & How to Apply Below

Controls Engineer - $125K + profit share bonus + relocation allowance.

An established global manufacturer is seeking a Controls Automation Engineer with strong hands-on experience in designing and implementing automation systems in a manufacturing environment. This is an excellent opportunity for an engineer with approximately 5 years of experience to take ownership of impactful projects, working on custom machinery and high-performance systems.

Key Responsibilities
:

  • Support the design, development, and deployment of automation systems involving motors, actuators, sensors, servo presses, gauges, and SCADA systems.
  • Program, test, and troubleshoot PLCs (Logix 5000, RS Linx), integrating robotics and vision systems where appropriate.
  • Contribute to the development of electrical control panels and automation for custom machinery and test equipment.
  • Collaborate closely with cross-functional engineering and manufacturing teams to improve productivity, quality, and reliability.
  • Ensure systems are delivered with a focus on safety, efficiency, and long-term maintainability.

Your Background
:

  • Bachelor's degree in Electrical Engineering or a related discipline.
  • 4–6 years of experience in controls automation, preferably within a manufacturing or industrial setting.
  • Proficient with Allen-Bradley PLC platforms (Logix 5000, RS Linx); experience with robotics or machine vision systems is a plus.
  • Familiarity with CAD tools (AutoCAD, Solid Works) and data analysis platforms like Power

    BI.
  • Strong communication and problem-solving skills; a team player with a continuous improvement mindset.
  • Exposure to Six Sigma, Lean manufacturing, or other process improvement methodologies is advantageous.
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