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Automations Engineer
Full Time Professional Middlesex, NC, US
3 days ago Requisition ID: 1144
Salary Range: $95,000.00 To $125,000.00 Annually
Duties and Responsibilities:
- Assist in the design, modeling, and prototyping of process and packaging systems.
- Support testing, assembly, and commissioning of prototypes under supervision.
- Read and interpret mechanical drawings, electrical schematics, and process flow diagrams.
- Specify, install, and troubleshoot sensors, actuators, and instrumentation for food manufacturing systems.
- Participate in wiring, panel layout, and field testing activities.
- Support integration, programming, and troubleshooting of PLC/HMI and SCADA systems.
- Contribute to coding and testing of automation or AI-driven routines (predictive maintenance, data monitoring, optimization).
- Assist with sensor data collection, labeling, and preprocessing for machine learning models.
- Work on projects using Python, C++, or similar to interface with hardware systems.
- Maintain accurate documentation including test reports, wiring diagrams, and engineering logs.
- Ensure safe and organized work areas in labs and on production floors.
- Participate in system commissioning and troubleshooting at customer sites when required.
- Uphold SQF requirements including promotion of a strong & positive food safety culture
- Active involvement in implementation, upkeep and continuous improvement of food safety as part of an interdisciplinary team
- Stewardship for our B-corp mission to promote worldwide health and wellness by fostering the delivery of high quality, healthy foods through sustainable methods.
What You’ll Learn:
- How to develop and test automated food manufacturing equipment
- Machine learning integration in industrial environments
- Industry codes, standards, and best practices (UL, CE, ISA, etc.)
- Real-world project execution from concept to commissioning
- Microwave and other electrical thermal processing technologies
Required:
- Bachelor’s degree in Mechanical, Electrical, Automation, Mechatronics, Robotics, Computer Science, or a related engineering field (or graduation within 6 months).
- Introductory experience or coursework in:
- CAD (SolidWorks or AutoCAD)
- Instrumentation and control systems
- Controls integration with field devices (sensors, VFDs, flow meters, actuators).
- Strong understanding of industrial communication protocols (EtherNet/IP, Modbus TCP, OPC UA).
- Ability to troubleshoot electrical/automation systems in a production environment.
- Hands-on mindset; comfortable using tools and learning in the field.
- Strong communication, collaboration, and organizational skills.
- Curiosity and eagerness to learn from a multidisciplinary team.
- Active passport or ability to obtain one within the first 6 months.
Preferred (but not required):
- Minimum of 2 years’ experience in automation, instrumentation, or controls engineering.
- Familiarity with SCADA/HMI systems (Ignition, Wonderware, or WinCC).
- Experience with data collection and integration from PLC/SCADA systems into historians, MES, or
- Working knowledge of machine learning concepts and data analytics (TensorFlow, PyTorch, scikit-
- learn, SQL).
- Practical applications of ML in industrial settings (predictive maintenance, anomaly detection, process optimization).
- Experience developing middleware or APIs to connect automation platforms with data pipelines.
- Prior internships, capstone projects, or personal projects involving automation, robotics, or controls.
- Basic electronics experience (soldering, sensor setup, instrumentation wiring).
- Knowledge of OSHA safety standards and industrial safety practices.
- Experience in food & beverage or other regulated manufacturing environments is a plus.
Physical Requirements:
- Ability to work on the floor in a manufacturing setting; frequent walking and standing required.
- Ability to work in hot, cold, or wet environments.
- Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus.
- Flexibility to alternate between hands‑on manufacturing work and office‑based programming/data analysis.
- Comfortable working in environments with shifting priorities and ambiguity.