Software Developer

Software Engineer C# development with a a degree in Computer Science, Software Engineering, Electrical/Automation Engineering, Mechatronics, or a related field with

focus on hardware-automation or control systems (or equivalent).

Desirable a bachelor’s degree in Automation or Manufacturing engineering

Software Engineers C# will be designing robust, multithreaded machine control software for deterministic, high-availability industrial systems.

Software Engineers will contribute to the software architecture by focusing on key areas such as reliability, data logging, predictive maintenance capabilities, and

cybersecurity for industrial environments. Software Engineers C# will have some of the following software development experience.

Expert proficiency in C# for application development, specifically using

the .NET Framework/Core (for stability and modern application

development) and ideally WPF (for complex, responsive UIs).

Demonstrable experience with real-time or near real-time operating

systems (RTOS) concepts and implementation, or strong experience

with real-time extensions in Windows or Linux.

Experience with Python for data processing, test automation, or highlevel

control scripts.

Familiarity with modern software development practices, including

Design Patterns (e.g., MVVM, Factory) and Clean Architecture

principles.

Industrial Control & Communication

Proven experience in programming and configuring industrial PCs (IPC)

and motion controllers (e.g., from Beckhoff, Delta Tau, Aerotech, Galil).

In-depth knowledge and hands-on experience with Industrial Ethernet

protocols such as EtherCAT, PROFINET, or SERCOS III for high-speed,

deterministic control loops.

Practical experience integrating industrial communication standards

like OPC UA for data exchange, telemetry, and SCADA/MES integration.

Knowledge of Machine Vision libraries (e.g., Halcon, OpenCV) and

practical experience implementing vision systems for alignment, quality

control (QC), and feature recognition.

Proficiency with Git for version control and collaborative development.

Experience setting up and maintaining CI/CD pipelines (e.g., Azure

DevOps, GitLab CI) for industrial software deployment.

Familiarity with data logging, time-series databases (e.g., InfluxDB), or

SQL/NoSQL databases for storing and analyzing machine operational data