Software Engineer / Senior Software Engineer (SECS/GEM and Factory Automation - Semiconductor Industry)

About the Role:

We are hiring a hands-on Full Stack Developer with proven development experience in factory automation to design, build, and maintain mission-critical software used in real semiconductor manufacturing environments.

This role spans:

• WPF desktop applications for equipment operations and engineering workflows
• React web applications for modern operational and management interfaces
• Backend services for communication, orchestration, and integration

You should have proven working experience in Docker and Kubernetes, and practical experience working in an AI-assisted software development environment to improve delivery speed and code quality without compromising engineering rigor.

Responsibilities:

• Design and deliver end-to-end software solutions across desktop UI, web UI, backend services, and integration components for factory automation systems.
• Lead development of robust C#/.NET applications and services with strong focus on maintainability, scalability, and reliability.
• Architect and enhance WPF desktop applications using MVVM, modular design, and reusable components.
• Build and maintain React-based web applications for operational dashboards, configuration tools, and system administration workflows.
• Develop and maintain gRPC/REST services for equipment communication, orchestration, and inter-process/service communication.
• Integrate applications with factory and enterprise systems (e.g., MES/SPC/EDA/custom host systems) based on project requirements.
• Translate equipment communication and production workflow requirements into practical, scalable software designs.
• Containerize services and web components using Docker and manage deployments in Kubernetes environments.
• Troubleshoot complex production issues across desktop, web, service, container, and orchestration layers.
• Drive engineering quality through code reviews, testing strategy (unit/integration/system), and CI/CD practices.
• Use AI-assisted development tools to accelerate coding, refactoring, testing, and documentation.
• Validate AI-generated outputs for correctness, security, performance, and maintainability before production use.
• Mentor junior developers and contribute to team technical standards and development practices.
• Prepare and maintain technical documentation, including architecture, interfaces, deployment, and support runbooks.

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related discipline.
• 5+ years of software development experience, with proven delivery in factory automation / industrial software environments.
• Strong proficiency in C#/.NET and solid object-oriented design skills.
• Strong backend development experience in gRPC/REST services and distributed application patterns.
• Hands-on experience building WPF applications with MVVM architecture.
• Hands-on experience building React applications (component architecture, state management, API integration, and production build/release practices).
• Proven working experience with Docker and Kubernetes in real project environments, including deployment, scaling, and troubleshooting.
• Proven working experience in AI-assisted software development environments (e.g., GitHub Copilot, Claude, ChatGPT, or equivalent) for coding, debugging, testing, and documentation.
• Demonstrated ability to critically review and validate AI-generated code for production readiness.
• Experience with source control, branching workflows, code reviews, and CI/CD pipelines.
• Strong problem-solving skills, debugging capability, and communication skills in English (written and spoken).

Preferred Qualifications

• Experience with SECS/GEM or GEM300 protocol implementation and semiconductor equipment communication.
• Mandarin language capability is preferred for customer communication needs in China markets.
• Familiarity with semiconductor factory operations and integration workflows.
• Exposure to secure development and deployment practices for containerized workloads.