ZEISS Group is a pioneer in science with over 177 years of experience, focusing on innovation and technology for a sustainable future. The Senior Systems Software Engineer – Industrial Fab Automation will deliver advanced CT-based inspection solutions for semiconductor packaging, integrating ZEISS Inspect with automation frameworks and ensuring seamless inspection workflows in semiconductor fabs.
Responsibilities:
- Design and implement back-end services and interfaces (primarily gRPC) integrating ZEISS Inspect with fab automation frameworks and fab-level controllers
- Develop software supporting wafer navigation and orchestrating end-to-end inspection workflows within semiconductor fabs
- Own service-level concerns including performance, reliability, observability, fault tolerance, and secure deployment
- Build and maintain automated test pipelines, including fab simulators, hardware-/system-in-the-loop testing, and CI/CD workflows
- Collaborate with internal automation, controls, metrology, and computer vision teams, as well as external fab stakeholders, to gather requirements and deliver production-ready integrations
- Integrate with or leverage computer vision frameworks (e.g., Cognex) to support fab workflows where required
- Implement and maintain logging, metrics, and distributed tracing for fab-deployed services to support operations and troubleshooting
- Participate in architecture/design reviews, code reviews, and continuous improvement initiatives
- Author and maintain technical design documentation, configuration guides, and operational runbooks
- Support root-cause analysis and resolution of issues during fab qualification, pilot runs, and production deployments
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related field; Master's degree preferred
- 5+ years of professional software engineering experience, with a focus on back-end services or systems software
- Strong coding proficiency in C++ and C#, with working proficiency in Python
- Proven experience designing and building server architectures and networked services (e.g., gRPC or comparable RPC frameworks)
- Hands-on experience with DevOps and automated testing pipelines (e.g., Git-based CI/CD, automated builds and tests, artifact management, and deployment pipelines)
- Solid foundation in software engineering best practices, including version control, code reviews, debugging/profiling, and testable code design
- Experience with fab automation frameworks (e.g., Cimetrix, Kontron, PEER Group)
- Experience with computer vision frameworks (e.g., Cognex) in industrial or semiconductor environments
- Background in industrial automation, including robots, motion systems, PLCs, machine controllers, or factory MES
- Experience developing Windows and Linux services, including containerized and orchestrated environments
- Familiarity with observability practices, performance tuning for high-throughput systems, and secure communication patterns (e.g., Protocol Buffers, RBAC)
- Experience in metrology or semiconductor manufacturing, particularly advanced packaging and wafer-level workflows