Software Developer

Oxford

1 month ago

Applications closed

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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

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