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Astronautics Corp of America

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Industry 4.0 Solutions Architect & Implementation Engineer

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Founded in 1918, Kearfott Corporation, a global Aerospace and Defense supplier for over 100 years, is a leader in the design and manufacture of precision motion control products and inertial navigation components.

Kearfott has a very long history of innovation and excellence, and is the go-to brand for many of our global clients. Kearfott is trusted, respected and plays a vital role in the success of America’s aerospace and defense industries. With over a century of expertise & experience, Kearfott is dedicated to providing quality, reliability, and cutting-edge technology to customers worldwide to meet their sea, land, air, and space navigation and guidance requirements.

Kearfott offers a comprehensive benefits package including a 401K, and Tuition Reimbursement. We offer a 9/80 schedule with every other Friday off.

We are looking for talented individuals who want to be part of a world-class work force. Join Kearfott and become part of a company that is recognized for technical expertise and respected world-wide as a ‘full service’ provider.

For more information, visit our website at

Position Summary:

We are seeking a visionary and hands-on Industry 4.0 Solutions Architect & Implementation Engineer to spearhead our smart manufacturing revolution. In this dual impact role, you will serve as both the architect and the builder of our next-generation industrial ecosystem. You will design, develop, and deploy end-to-end digital solutions that seamlessly bridge the gap between physical factory operations and advanced digital technologies. Your mission is to transform traditional manufacturing processes into self-optimizing, data-driven, and highly efficient operations by leveraging the Industrial Internet of Things (IIoT), artificial intelligence (AI), and cloud automation.

Essential Functions:

Solution Creation & Digital Strategy

  • Architect end-to-end Industry 4.0 systems that seamlessly integrating cloud/edge computing, IIoT networks, and legacy execution systems (MES/ERP).
  • Develop and/or implement third party software applications and automation pipelines to extract, normalize, and process big data from the factory floor.
  • Create functional prototypes and intuitive interfaces/dashboards for manufacturing teams to visualize live data.
  • Formulate the long-term digital transformation roadmap, identifying high-ROI opportunities for automation and predictive workflows.

Technical Implementation & Execution

  • Deploy, configure, and scale IoT sensors, smart actuators, and PLC gateway devices directly in production environments.
  • Establish standardized, secure communication frameworks (e.g., MQTT, OPC UA) to guarantee robust data flow.
  • Implement AI and Machine Learning models to transition the plant from reactive to proactive, predictive maintenance.
  • Oversee full-cycle system testing and validation, minimizing operational downtime during new rollouts.

Governance, Collaboration, & Training

  • Act as the technical bridge between traditional plant engineers, data scientists, IT departments, and executives.
  • Establish data governance, quality metrics, and cybersecurity baselines to protect industrial networks from vulnerabilities.
  • Train and empower frontline operators to effectively adopt and manage newly deployed digital solutions.

Critical Competencies:

  • Strong grasp of Agile project management.
  • Exceptional cross-functional communication skills.
  • Proven track record of converting raw data into actionable operational insights.

Required Qualifications/Education:

  • Bachelor's or Master’s degree in Mechatronics, Robotics, Computer Science, Industrial Engineering, or a a related technical discipline.
  • Minimum 3–5+ years of hands-on experience deploying hardware, software, and networking infrastructure inside a manufacturing environment.
  • Proficiency in programming languages like Python, C++, or structured text (PLC coding); familiarity with SQL/NoSQL databases.
  • Hands-on experience with protocols (OPC UA, MQTT, Modbus), edge devices, and cloud ecosystems (AWS IoT Core or Azure IoT).
  • Must be a US Citizen.

Equal Opportunity Employer/including Disabled/Veterans

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