We are a leading company in the wireless broadband communications industry looking for talented professionals with a winning attitude.
Job Description
1. Embedded Imaging Platform DSP/ISP HW Pipeline IPs Image Parameter Tuning and Development:
- Lab-level Camera Module Optical Calibrations (BLC, DPC, LSC, CA, MWB, CCM, LDC, etc.) adjustments and optical/image verification.
- Lab baseline and high-to-low color temperature x high-to-low brightness scene ISP/IQ tuning, optimization, and image quality verification.
- Field ISP/IQ fine-tuning, optimization, and image quality verification for different time periods, lighting conditions, weather, and mixed color temperature scenarios.
2. Image Processing and Visual Recognition Software Development:
- Design and implement image and calibration processing algorithms (such as Particle/Blemish Detection, Lens Optical Camera Matrix, Lens Optical Center, Color Accuracy/Uniformity, Image Enhancement, Denoising, Edge Detection, etc.).
- Develop visual recognition technologies (such as object detection, facial recognition, gesture recognition, etc.).
3. Deep Learning and Machine Learning Applications:
- Use deep learning frameworks (such as TensorFlow, PyTorch, Keras) for model development and optimization.
- Develop and train machine learning models for image recognition and classification applications.
4. System Integration, Optimization, and Debugging:
- Integrate image processing software into network communication and automotive devices, ensuring compatibility with hardware and other software modules.
- Optimize and adjust systems for different application scenarios (such as surveillance, image analysis, etc.).
- Conduct performance analysis and optimization of image processing software to improve processing speed and resource utilization.
- Use tools (such as GDB, Valgrind, Coverity) for debugging and problem analysis to resolve software errors.
5. Testing and Validation:
- Use various standard color/sunlight sources and integrating spheres in the lab for module-level optical and image validation.
- Design and execute test plans for image vision software to ensure functionality and performance meet specification requirements.
- Use tools (such as OpenCV, MATLAB, ImaTest, ImageJ) to analyze and validate image processing results.
- Conduct actual field test validation according to product usage scenarios, including different times and weather conditions.
6. Cross-Departmental Collaboration:
- Collaborate with hardware, testing, and product managers to participate in requirement specification discussions and feasibility assessments.
- Produce image-related validation reports to ensure product imaging and optical results meet design standards.
- Write software design documents to ensure the maintainability and scalability of the software architecture.
Education
Work Experience
Language
Skills
Back End (Software Engineering)、 Back End (Software Engineering)、 C (Programming Language)、 C++ Programming Language、 Camera Link、 Computer Vision、 Digital Image Processing、 Direct Web Remoting (Java)、 Ethernet、 Event Listeners (Java)、 Front-End Engineering、 GigE Vision、 Hibernate ORM、 Image Segmentation、 Image Sensor、 ImageX (Imaging Software)、 Java (Programming Language)、 Java Swings、 Link Aggregation (Ethernet)、 Machine Vision (MV)、 Media Independent Interface (Ethernet)、 Microsoft Visual Studio、 OpenCV、 Optics、 Photonics (還有 9 個)