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Controls Engineer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Amsafe Inc
Full Time position
Listed on 2026-06-06
Job specializations:
  • Engineering
    Robotics, Automation Engineering, Systems Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Summary

AmSafe, a division of Trans Digm, is seeking a highly motivated and technically strong Controls Engineer to join our operations team in Phoenix, Arizona. This hands‑on role is critical to advancing our automation strategy and strengthening our manufacturing capabilities. We are looking for a leader who embodies our culture — thinking and acting like an owner, demonstrating accountability, maintaining a strong sense of urgency, and driving results through innovation and teamwork.

The Controls Engineer will be responsible for designing, implementing, and supporting control systems across our manufacturing operations while identifying and integrating new technologies that create long‑term value for the business.

Scope and Responsibilities

The Controls Engineer will lead the design, development, implementation, and continuous improvement of automated manufacturing systems. This role focuses on PLC programming, robotic integration, machine vision systems (including Keyence and Cognex vision platforms), motion control, and advanced manufacturing technologies. The position requires strong technical expertise combined with ownership, cross‑functional collaboration, and data‑driven decision making. This individual will serve as a technology champion, helping modernize operations while maintaining safety, quality, delivery, and cost objectives.

Essential

Functions
  • Design, program, and troubleshoot PLC-based control systems for manufacturing equipment and automated processes.
  • Develop and support robotic applications including programming, integration, and optimization of industrial robots.
  • Design, implement, and maintain machine vision systems, including Keyence and Cognex vision platforms, for inspection, validation, and process control.
  • Integrate sensors, motors, actuators, servo systems, safety circuits, and HMI interfaces into reliable automated solutions.
  • Lead root cause investigations related to automated equipment failures using structured, data‑driven methods.
  • Develop standardized controls architecture and documentation to ensure system reliability and scalability.
  • Partner with Manufacturing Engineering and Operations to support new product introductions and automation projects.
  • Evaluate and recommend new automation technologies, robotics platforms, vision systems, and digital manufacturing tools.
  • Lead capital automation projects from concept through installation, validation, and production handoff.
  • Drive continuous improvement initiatives that increase uptime, throughput, quality, and labor productivity.
  • Champion cybersecurity and controls best practices for industrial automation systems.
  • Provide technical mentorship and training to maintenance and engineering teams on controls systems and new technologies.
  • Operate, program, and troubleshoot systems using Studio 5000 software and vision systems.
  • Install, configure, and maintain SCHUNK sensors, SMC components, Banner sensors, proximity sensors, retro reflective sensors, fiber optic sensors, light curtain sensors, and other industrial sensors and automation devices.
  • Perform diagnostics and ensure proper functionality of sensors and related control systems.
  • Design and update HMI screens to improve operator usability and process visibility.
  • Develop automatic production and performance reports to support data‑driven decisions.
Technology & Innovation Leadership
  • Continuously research emerging automation technologies and assess their business impact.
  • Develop automation roadmaps aligned with operational and strategic objectives.
  • Pilot and implement advanced technologies including AI‑driven inspection, smart sensors, and digital manufacturing tools.
  • Simplify and standardize controls systems to reduce complexity and long‑term maintenance burden.
  • Balance short‑term operational needs with long‑term technology investments.
Competencies
  • Ownership & Accountability – Think and act like an owner; deliver measurable results.
  • Bias for Action – Demonstrate urgency and decisiveness in solving technical challenges.
  • Analytical Thinking – Apply data‑driven problem‑solving to complex automation systems.
  • Collaboration – Work cross‑functionally with Engineering, Quality, Supply Chain, and…
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