Optical System Integration Engineer
Lyte - Sunnyvale, CA
Hiring: Optical System Integration Engineer Company: Lyte Location: Sunnyvale, CA Job Posted Time: 2026-09-03 14:44:59 Target Skills & Keywords : FPGA, Firmware, Matplotlib, NumPy, Pandas, Python, SOC, SciPy, Systems Integration About the job Required Skills: •Build, align, and characterize optical laboratory setups and optical subsystems. •Support testing and validation of optical components and subsystems, including lenses, windows, mirrors, lasers, detectors, and related opto-mechanical assemblies. •Perform optical alignment tasks including free-space alignment, beam collimation, focusing, and optimization of optical paths. •Execute optical characterization and system-level test procedures and analyze the resulting data. •Develop Python scripts for instrument control, test automation, data processing, visualization, and analysis. •Assist with development and validation new sensor prototyping and manufacturing processes. •Support optical subsystem bring-up, integration, validation, and troubleshooting. •Investigate unexpected system behavior using experimental data and fundamental engineering principles. Qualifications: •A B.S. or M.S. in Optical/Photonics Engineering, Electrical Engineering, Physics, Applied Physics, or a related engineering field. •In-depth knowledge of optical fundamentals, including geometric optics, lenses, imaging, Gaussian beams, diffraction, and basic physical optics. •Demonstrated hands-on technical aptitude through laboratory coursework, research, internships, engineering projects, or previous employment. •Comfortable working with physical hardware and performing iterative setup, measurement, alignment, and debugging. •Solid functional working knowledge of Python, particularly for scientific computing, data analysis, or laboratory automation. •Demonstrated capacity to analyze experimental data, identify trends or anomalies, and develop hypotheses based on measurement results. •Strong problem-solving skills and willingness to learn unfamiliar systems and measurement techniques. •Demonstrated capacity to communicate technical observations and results clearly. •Python libraries such as NumPy, SciPy, pandas, and Matplotlib. •Automated test equipment and instrument communication/control. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!