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Opc Modeling Engineer Jobs in Raleigh, NC (NOW HIRING)

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

Duties and Responsibilities: ● Assist in the design, modeling, and prototyping of process and ... Modbus TCP, OPC UA). ● Ability to troubleshoot electrical/automation systems in a production ...

Production Lead

Durham, NC

$18 - $25/hr

... estate developers and builders in the nation. For more than 35 years, JPI has designed and ... Accountable for in-line quality and adherence to OPC schedule Expectations * Act as a ...

Integrations Engineer

Durham, NC

$100K - $135K/yr

Experience with or working knowledge of MQTT and industrial data protocols (Sparkplug B, OPC-UA, or ... Strong understanding of REST APIs, webhooks, and data modeling * Experience designing, querying ...

Opc Modeling Engineer information

See Raleigh, NC salary details

$37.9K

$98.9K

$133.7K

How much do opc modeling engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for opc modeling engineer in Raleigh, NC is $98,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $113,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an OPC Modeling Engineer, and why are they important?

To thrive as an OPC Modeling Engineer, you need a strong background in semiconductor physics, computational modeling, and a relevant engineering or science degree. Expertise in OPC software tools like Mentor Calibre or Synopsys, along with experience in scripting languages such as Python or Perl, is typically required. Analytical thinking, attention to detail, and effective cross-functional communication are vital soft skills for this role. These skills ensure precise photolithography models, efficient design-to-manufacturing processes, and seamless collaboration with design and fabrication teams.

What is the difference between Opc Modeling Engineer vs PCB Design Engineer?

AspectOpc Modeling EngineerPCB Design Engineer
Required CredentialsBachelor's in Electrical Engineering or related, knowledge of OPC standardsBachelor's in Electrical Engineering, Electronics, or PCB Design certifications
Work EnvironmentSemiconductor fabrication, EDA tool developmentElectronics manufacturing, product development
Industry UsageSemiconductor industry, IC manufacturingConsumer electronics, industrial equipment
Common Search/ComparisonYesNo

Opc Modeling Engineers focus on creating models for optical proximity correction in semiconductor manufacturing, working closely with EDA tools and chip fabrication. PCB Design Engineers develop printed circuit boards for electronic devices, emphasizing layout and electrical integrity. While both roles require electrical engineering knowledge, they serve different stages of electronic product development and are used in distinct industry segments.

What are some common challenges faced by OPC Modeling Engineers when working with new process nodes?

OPC Modeling Engineers often encounter challenges such as adapting to the increasing complexity of advanced process nodes, where feature sizes become smaller and patterning requirements grow more demanding. Accurate model calibration becomes more time-consuming, requiring close collaboration with lithography, process, and design teams. Additionally, integrating new materials and technologies can introduce unforeseen variables, making continuous learning and flexible problem-solving essential for success in this role.

What are OPC Modeling Engineers?

OPC Modeling Engineers are specialists who develop, calibrate, and maintain optical proximity correction (OPC) models used in semiconductor manufacturing. These engineers work to improve the fidelity of photolithography processes by simulating and correcting distortions that occur when transferring circuit patterns onto silicon wafers. Their expertise helps ensure that microchips are fabricated with high precision and yield, enabling the continued advancement of smaller and more complex semiconductor devices. OPC Modeling Engineers typically collaborate with process engineers, software developers, and design teams to optimize and implement OPC strategies.
What are popular job titles related to Opc Modeling Engineer jobs in Raleigh, NC? For Opc Modeling Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Opc Modeling Engineer jobs in Raleigh, NC look for? The top searched job categories for Opc Modeling Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Opc Modeling Engineer jobs? Cities near Raleigh, NC with the most Opc Modeling Engineer job openings:

Automations Engineer

SINNOVATEK SERVICES LLC

Middlesex, NC • On-site

$95K - $125K/yr

Full-time

Posted 20 days ago


Job description


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.