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Senior Engineer for Photonic Module Characterization(m/w/x)
Automating test setups and analyzing performance data for LENA architecture, powering AI/HPC applications. Expertise in thin-film lithium niobate device physics required. Ownership of work from day one at deep-tech scale-up.
Requirements
- Master’s or PhD in Photonics or related field.
- At least 3 years in photonic device characterization.
- Proven track record in optimizing optical & RF probe stations.
- Experience mentoring students or junior engineers.
- Thin-film lithium niobate device physics.
- SEM and microscopy techniques.
- High-speed optical modulation and RF signal integrity.
- Photodiode characterization principles.
- Measurement instrumentation (VNAs, oscilloscopes, RF probes).
- Calibration methods for optical and RF systems.
- Automation scripting (Python, LabVIEW, MATLAB).
- Data acquisition systems and post-processing workflows.
- Familiarity with cleanroom processes.
- Fluent in English; proficiency in German is a plus.
Tasks
- Deliver high-precision performance data for validation.
- Conduct root cause analysis for manufacturing yield.
- Automate setup to shorten design-to-validation cycles.
- Streamline test methodologies for efficiency.
- Provide data-driven recommendations to enhance product performance.
- Support design and process teams with clear insights.
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Python
- LabVIEW
- MATLAB
- VNAs
- high-speed oscilloscopes
- RF probes
- optical spectrum analyzers
- tunable lasers
Benefits
Sustainability Focus
- Growing demand in compute and sustainability
Modern Equipment
- Leading edge photonic AI technologies
Startup Environment
- Collaborative and innovative environment
- Close collaboration with leadership team
Purpose-Driven Work
- Ownership of work from day one
Diverse Work
- Passionate international expert team
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- Q.ANTFull-timeOn-siteManagementStuttgart
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Senior Engineer for Photonic Module Characterization(m/w/x)
Automating test setups and analyzing performance data for LENA architecture, powering AI/HPC applications. Expertise in thin-film lithium niobate device physics required. Ownership of work from day one at deep-tech scale-up.
Requirements
- Master’s or PhD in Photonics or related field.
- At least 3 years in photonic device characterization.
- Proven track record in optimizing optical & RF probe stations.
- Experience mentoring students or junior engineers.
- Thin-film lithium niobate device physics.
- SEM and microscopy techniques.
- High-speed optical modulation and RF signal integrity.
- Photodiode characterization principles.
- Measurement instrumentation (VNAs, oscilloscopes, RF probes).
- Calibration methods for optical and RF systems.
- Automation scripting (Python, LabVIEW, MATLAB).
- Data acquisition systems and post-processing workflows.
- Familiarity with cleanroom processes.
- Fluent in English; proficiency in German is a plus.
Tasks
- Deliver high-precision performance data for validation.
- Conduct root cause analysis for manufacturing yield.
- Automate setup to shorten design-to-validation cycles.
- Streamline test methodologies for efficiency.
- Provide data-driven recommendations to enhance product performance.
- Support design and process teams with clear insights.
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Python
- LabVIEW
- MATLAB
- VNAs
- high-speed oscilloscopes
- RF probes
- optical spectrum analyzers
- tunable lasers
Benefits
Sustainability Focus
- Growing demand in compute and sustainability
Modern Equipment
- Leading edge photonic AI technologies
Startup Environment
- Collaborative and innovative environment
- Close collaboration with leadership team
Purpose-Driven Work
- Ownership of work from day one
Diverse Work
- Passionate international expert team
About the Company
Q.ANT
Industry
Engineering
Description
Q.ANT is a photonic deep-tech scale-up developing photonic processing solutions. Its LENA architecture delivers analog co-processing power for next-generation AI and HPC applications.
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