Product Engineer
Description
- Schedule a characterization/testing plan and work with R&D teams and manufacturing engineers to resolve different technical issues, in order to meet performance requirements.
- Participate in product definition and provide DFM inputs.
- Work in close collaboration with silicon foundry, image characterization, and pixel design.
- Interact with foundry fab in improving all silicon process, color, and package issues.
- Improve product yield and performance by process optimization and layout design update.
- Analyze yield and drive corrective actions for yield improvements.
- Drive characterization to finalize the product datasheet.
- Work with pixel design group to design the most sophisticated and optimized pixel layout.
- Collaborate with characterization team to analyze and debug pixel device circuit and various image related issues.
- Ramp up for image sensors and ASIC devices.
- Coordinate with company's fab to drive semiconductor processing tool vendors to optimize processes.
- Work with testing engineers to develop, verify, and release testing program at wafer level testing and final testing.
Master’s degree in Electrical Engineering, Mechanical Engineering, or related fields with course work of R&D Technology Management, Control Systems Design, Failure Analysis of Structural Materials, and Statistics and Data Science.
Require special skills or knowledge of:
- Research and development of software applications in machine learning applications.
- Machine learning algorithms.
- Programming in Python.
- Code management and version control, such as GitHub.
Annual base salary for this role in California, US is expected to be between $107,702 - $115,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.