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As part of our cross-functional engineering team, you will contribute to both mechanical and electrical
systems as well as develop and integrate AI-enabled systems, bridging the gap between traditional
process engineering and smart automation technologies.
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)
○ Programming (Studio 5000, Python, C++, or MATLAB)
○ 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
cloud platforms.
● 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.
Learn more about this Employer on their Career Site
