Vision Algorithm Engineer

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 As a Vision Algorithm Engineer, you will develop end-to-end visual intelligence algorithms for PICO’s next-generation VR/MR/AR products. This role spans on-device and cloud-based algorithms, covering computational imaging, computer vision, and large-model–driven visual understanding. You will own algorithm design from research and prototyping through deployment and system integration. Responsibilities - Design and develop vision algorithms across imaging and perception, including image enhancement, restoration, scene understanding, detection, classification, and visual reasoning. - Develop on-device algorithms optimized for real-time performance, power efficiency, and memory constraints on smart wearable devices and smartphones. - Explore and prototype cloud-based vision algorithms and large-scale models, enabling advanced semantic understanding and cross-device intelligence. - Own model deployment and optimization, including quantization, compression, and hardware-aware acceleration. - Balance system-level trade-offs between on-device and cloud execution, considering latency, privacy, robustness, and user experience. - Collaborate with camera, display, platform, and product teams to deliver high-quality capture-to-display experiences. - Contribute to technical design reviews, documentation, and long-term imaging technology roadmaps. Minimum Qualifications - Strong background in computer vision, imaging, and machine learning, with hands-on algorithm development experience. - Proficiency in Python and C++, and experience with deep learning frameworks such as PyTorch or TensorFlow. - Experience deploying or optimizing models for on-device inference. - Bachelor’s, Master’s, or PhD in a related field, with 5+ years of relevant experience. Preferred Qualifications - Experience with VR/AR/MR, smart wearables, or mobile vision systems. - Familiarity with camera ISP pipelines, including optical and digital imaging chains. - Experience shipping vision algorithms in consumer products.