Qualcomm Camera System Team is seeking a passionate camera systems engineer with focus in Image Quality Evaluation to join the team in San Diego. The camera team creates embedded imaging solutions for Snapdragon chipsets that power modern mobile devices.
Requirements
- Good understanding of various camera imaging algorithms (e.g. Denoising and sharpening, 3A, color management, depth and bokeh, multi-frame/multi-exposure processing)
- Good understanding of Image Quality (IQ) aspects, IQ evaluation methodologies and metrics
- Knowledge/experience in designing and setting-up the camera IQ lab test, and real-life test scenarios
- Knowledge/experience in developing objective IQ metrics
- Knowledge/experience in machine learning algorithm for computer vision or computational photography
- Knowledge in camera sensor and modules
- Strong programming skill in MATLAB, Python, and C/C++
Responsibilities
- Image Quality (IQ) Evaluation System development for Mobile photo camera, Automotive camera, and IoT Product Camera.
- Define and generate the dataset and IQ aspects/metrics for given camera imaging features (e.g. HDR, Noise Reduction, Depth/Bokeh)
- Develop the SW tools for the lab test automation, metric analysis, and report generation
- Perform the IQ evaluation for the internal camera solutions, including the fundamental Imaging Blocks (e.g. Denoising and Sharpening, Tone Mapping, 3A), and the various advanced Imaging Features (e.g. HDR, Depth and Bokeh, Super Resolution).
- Generate the IQ Evaluation report and communicate with the solution/feature development teams with the IQ evaluation results to improve IQ features
Other
- Strong communication skill in generating IQ reports and communicating with the development team
- 2+ years in Image Processing, Camera HW or SW development for mobile phone camera, Automotive camera, IoT camera, or related work experience.
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
