Responsibilities include the following:
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Contribute to Si-Ware Si-NIR and Si-MIR spectral sensors system characterization, calibration and validation, building necessary testing setups and algorithms.
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Work on modeling and simulation of Si-Ware spectral systems.
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Support Failure/Root-Cause analysis, Yield analysis and Reliability Qualification of spectral products.
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Study new spectrometer system architectures, and implement lab-setups/prototypes for concept validation.
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Solve system-level issues by DSP algorithms.
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Interface with different components (MEMS, Optics, Software, Electronics, Mechanics, ...).
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Very good understanding of Optics, Electronics and MEMS fundamentals.
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Strong technical background in DSP.
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Familiarity with Python and MATLAB is preferable.
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System-level experience in previous projects.
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Previous experience in spectroscopy is a plus.
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Experience with Machine Learning and Artificial Intelligence is a plus.
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Hands-on experience in performing lab experiments, testing, characterization and failure analysis is a plus.
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Self-starter with demonstrated quantitative analysis and problem solving skills.
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Able to proactively communicate with different teams and work under pressure.
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This opportunity is also open to students expected to graduate within the next two months.