Systems Engineer I - Software, Robotics & Semiconductor Automation

Develop frontend/UI and backend logic using Python GUI frameworks, web UI tools, JavaScript/TypeScript, HTML/CSS, APIs/local services, configuration files, logging, and error handling. Integrate software with robots, cameras, sensors, measurement devices, motion systems, and industrial equipment. Support basic equipment networking, including setting device IP addresses, understanding subnets, and connecting PCs/HMIs to robots, cameras, and controllers. Build responsive application workflows using threading, synchronization, asynchronous execution, or queue-based updates so long-running robot, camera, measurement, or communication tasks do not freeze the HMI/operator interface. Support databases and data pipelines for measurement results, equipment records, part data, reports, analytics, model inputs/outputs, and traceability. Support data-driven and AI/ML workflows where applicable, including feature extraction, model integration, similarity scoring, quality/health checks, prediction outputs, and engineering analytics. Create and maintain scripts, tools, installers, documentation, validation notes, and test procedures needed to support applications in lab, production, or customer-adjacent environments. What we are looking for Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Robotics, Mechatronics, Systems Engineering, or a related technical field. Proficiency in Python for application development, automation, scripting, debugging, data handling, or equipment integration. Experience with C/C++ or other lower-level programming languages is helpful for debugging, device integration, or performance-critical workflows. Experience developing user interfaces, dashboards, diagnostic tools, HMIs, or local software applications. Familiarity with JavaScript/TypeScript, HTML, CSS, Python UI frameworks, or similar frontend/HMI technologies. Familiarity with backend application logic, APIs/local services, configuration files, logging, error handling, and software testing. Familiarity with databases or structured data using SQL, SQLite, JSON, Excel/CSV, NoSQL, or similar tools. Basic understanding of networking concepts such as IP addresses, subnets, ports, and local equipment connectivity. Exposure to robotics, cameras, sensors, motion systems, measurement devices, machine vision, or industrial equipment is preferred. Exposure to AI/ML or data science tools such as scikit-learn, PyTorch, TensorFlow, NumPy, pandas, or similar frameworks is preferred. Experience with threading, synchronization, asynchronous programming, event loops, or queue-based UI updates is preferred. Experience with software packaging and deployment tools such as PyInstaller, NSIS, virtual environments, PowerShell, Git, GitLab, CI/CD pipelines, or Microsoft Azure is a plus. Strong analytical and problem-solving skills, especially when debugging systems that combine software, hardware, data, and operator workflows. Ability to communicate technical information clearly and work effectively in a cross-functional engineering environment.