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Apple Camera Module Design Lead China, Guangdong Province, Shenzhen 779152945
Today
Description
Definition and trade-off studies of RGB camera optics, sensors, actuator, and packaging.Leadership of offshore manufacturing partners on camera design evaluation, product prototype builds, and qualification.Leadership of failure analysis and corrective action implementation at manufacturing sites as well as remotely, including assembly processes, testing, and calibration; parametric-data analysis of end-of-line yield and post-reliability failures.Evaluation and debugging of camera HW at module and product levels for Camera Design and Integration.Documentation of camera-specific design, test, and manufacturing requirements.International travel may be required to supplier facilities for product development and production bring-up.
Minimum Qualifications
- BSc/MSc/PhD in relevant field (Electrical Engineering, Mechanical Engineering, Optics, Physics, Materials or equivalent).
- Able to communicate and convey ideas clearly and concisely.
Preferred Qualifications
- Ability to lead a multi-functional team of engineers and scientists with outstanding background and technical expertise through the R&D phase of product development from concept to mass production is a key requirement.
- Ability to influence other teams, manage risk, make decisions with limited amount of information, deliver against a fast-paced development schedule are key requirements.
- The applicant will also be familiar with at least 3 of the skills listed below:
- Design and tolerance analysis of highly constrained, high-volume actuators or translational mechanisms.
- Electronic circuit and system design including power and signal integrity.
- Understanding of geometric optics and image quality evaluation including test charts, algorithms, and lighting.
- Image/depth sensor design or characterization.
- Compact module manufacturing processes such as sensor attachment, flex attachment, active alignment, etc.
- Failure analysis techniques such as optical microscopy, X-ray, CT scans or SEM.
- Demonstrated ability in root-cause and corrective-action analysis.
- Proficiency in statistical analysis, data reporting, and visualization.
- Proven track record of successfully delivering new products into mass production on time, meeting yield and efficiency targets.
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