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Systems Engineer (ML)
Описание вакансии
Текст:
TL;DR
Systems Engineer (ML): Developing and integrating machine-learning solutions for wafer probe systems with an accent on image-based structure identification, automated learning, and dynamic parameter optimization. Focus on validating models under real physical conditions, integrating ML modules into existing software, and supporting product commissioning and maintenance.
Location: Thiendorf, Germany; flexible working hours and home office are available.
Company
develops and manufactures semiconductor test and measurement products, including wafer probers, MEMS probe cards, metrology systems, and quantum cryogenic measurement systems.
What you will do
- Incorporate customer requirements into existing wafer probe systems.
- Maintain products, including component substitutions in coordination with purchasing.
- Support production during commissioning of new and further-developed systems.
- Analyze setup scenarios and capture image data under application-specific conditions.
- Develop and train ML models for robust structure identification, continuous learning, and dynamic parameter optimization.
- Validate and integrate ML solutions into existing software and create technical documentation.
Requirements
- Bachelor’s degree with at least 2 years of related experience, an advanced degree without experience, or equivalent work experience.
- Degree in mechanical engineering, physics, or a similar field.
- Experience with design software such as SolidWorks, PDM Works, or QAD.
- Programming skills in MATLAB, Python, or C#.
- Good written and spoken German and English.
- Independence, flexibility, initiative, and ability to work in a team.
Culture & Benefits
- Work in small, product-focused teams with flat hierarchies and independent responsibilities.
- New-hire training plan and internal training opportunities.
- Flexible working hours and home office options.
- 30 days of vacation and an attractive remuneration package with a share in company success.
- International collaboration, knowledge exchange, and a friendly working atmosphere.