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Lead Test Systems and Automation Engineer
Not specifiedFull-timeQA & Test AutomationSemiconductorsData Infrastructure
Own the architecture, development, and continuous improvement of software and automation systems supporting production and test lines for silicon photonics solutions. This hands-on technical leadership role combines software development, test-system architecture, equipment integration, automation,,,
Responsibilities
- Own software and automation architecture for production and test environments.
- Build data flows from test equipment to local infrastructure and cloud, including data models, interfaces, and traceability.
- Integrate fab and foundry data with test results at wafer, die, and device levels.
- Develop engineering applications, dashboards, and visualization tools for yield analysis, investigation, and line monitoring.
- Create automation for sequencing, status monitoring, early abort, retest, recovery, remote control, and unattended operation.
- Develop reusable test-system frameworks connecting equipment, applications, automation, test programs, and data.
- Design equipment interfaces, data acquisition, logging, diagnostics, and fault-recovery mechanisms.
- Establish software practices for version control, reviews, configuration, deployment, release documentation, and rollback.
- Collaborate with multidisciplinary engineering, manufacturing, operations, quality, and external teams.
Requirements
- At least 6 years of hands-on experience developing complex software, automation, or test-system platforms for R&D, manufacturing, or production, or equivalent expertise.
- Bachelor’s degree in computer science, software engineering, electrical engineering, computer engineering, physics, or a related discipline, or equivalent relevant experience.
- Strong development experience in Python and/or LabVIEW.
- Experience developing software that controls or integrates physical equipment, instruments, or automated systems.
- Knowledge of system architecture, equipment interfaces, sequencing, data acquisition, logging, diagnostics, and fault recovery.
- Experience with data modelling and pipeline design for analysis at multiple levels of granularity.
- Experience building data-facing applications, dashboards, or engineering tools for other users.
- Ability to design modular, maintainable systems that scale from development into production.
Nice to have
- Python proficiency; experience with both Python and LabVIEW is an advantage.