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