About Team PICO’s Imaging Systems & Human Engineering team is looking for passionate and versatile imaging experts to work on next-generation imaging algorithms that deliver top-tier visual experiences across PICO products, from camera capture to display rendering.
Our team focuses on the end-to-end imaging pipeline, bridging camera systems, display technologies, and human visual perception. We develop and evaluate imaging algorithms that span optical design, digital image processing, computer vision, and system-level optimization, with a strong emphasis on image quality, efficiency, and real-world user experience.
Team members play a key role in shaping both technology direction and productization roadmaps, contributing to the future of imaging technologies and their applications in VR / MR / AR devices.
Responsibilities:
- Develop novel perceptual metrics to quantify user experience in the areas of visual quality and comfort for AR/VR products.
- Apply perception sciences in AR/VR product developments through psychophysics experiments, early vision modeling, and developing perceptual driven machine learning and AI imaging algorithms.
- Design and implement eye-tracking related display features based on perceptual science principles, and validate performance through user studies.
- Develop and maintain simulation platforms, computational models, and prototypes to accelerate hardware design iterations and software optimizations.
- Analyze various aspects of visual quality and visual comfort of next generation display systems, to identify system limitations and define imaging system architecture specifications.
Requirements
Minimum Qualifications
- Advanced degree in Vision Science, Perceptual Psychology, Computational Neuroscience, Optometry, Human Factors, Imaging Science, Color Science, Optics, Computer Science, or a related field.
- 5+ years experience (inclusive of graduate school research experience) in related fields.
- Deep understanding of human visual system and image quality concepts, or behavioral science and human factors.
- Strong background in statistics, optimization, machine learning, computational modeling.
- Experience working with large-scale, complex datasets and data analysis pipelines.
- Experience with psychophysics, user studies, and perception experiment design, conducting, and statistical analysis.
- Proficiency in one of the scripting, modeling, data analysis, or prototyping languages such as MATLAB, Python, C++.
Preferred Qualifications
- Experience with eye-tracking technology, eye-tracking data analysis, and relevant applications is a plus.
- Experience in engineering productization and delivery, including translating research prototypes into production-ready solutions is a plus.
- Expertise in one or more areas of visual comfort, spatio-temporal vision, visual optics, binocular vision, and visual neuroscience is a plus.
- Engineering background in image processing, signal processing, or color technology, and deep understanding of their relations to vision science is a plus.
- Experience in the consumer electronics industry and understanding of hardware software imaging system architecture is a plus.