Software Developer

Education

Degree in Computer Science, Software Engineering, Electrical/Automation Engineering, Mechatronics, or related field with a focus on hardware-automation or control systems. A bachelor’s degree in Automation or Manufacturing Engineering is desirable.

Responsibilities

• Design robust, multithreaded machine control software for deterministic, high‑availability industrial systems.
• Contribute to software architecture with a focus on reliability, data logging, predictive maintenance capabilities, and cybersecurity for industrial environments.
• Collaborate closely with hardware teams to integrate industrial PCs, motion controllers, and communication interfaces.

Qualifications

• Expert proficiency in C# for application development, using the .NET Framework/Core and ideally WPF for complex, responsive UIs.
• Demonstrable experience with real‑time or near real‑time operating system concepts and implementation, or strong experience with real‑time extensions in Windows or Linux.
• Experience with Python for data processing, test automation, or high‑level control scripts.
• Familiarity with modern software development practices, including Design Patterns (e.g., MVVM, Factory) and Clean Architecture principles.
• 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.

Industrial Control & Communication

• Proven experience programming and configuring industrial PCs (IPC) and motion controllers (e.g., 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.

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