Vision Algorithm Evaluation Engineer - PICO Lab - San Jose

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 Evaluation Engineer, you will independently evaluate and analyze vision algorithms across imaging and perception pipelines, ensuring algorithm quality, robustness, and system efficiency. This role requires a strong algorithmic background, enabling deep technical insight rather than black-box testing, and plays a critical role in guiding technology and product decisions.

Responsibilities

• Design test scenes, datasets, and evaluation protocols that reflect real-world VR/MR/AR usage scenarios.
• Develop evaluation frameworks and interfaces to support consistent assessment of internal and external vision algorithms.
• Define and evolve evaluation metrics covering image quality, perception accuracy, robustness, latency, and system efficiency.
• Perform in-depth technical analysis of imaging and CV algorithms, understanding root causes behind performance differences.
• Benchmark third-party and academic algorithms, assessing technical value, system impact, and integration risks.
• Produce clear, data-driven technical reports with actionable recommendations for algorithm selection and optimization.
• Work closely with algorithm, camera, display, and product teams while maintaining independent technical judgment.

Minimum Qualifications

• Strong foundation in computer vision and imaging algorithms
• Proficiency in Python and C++.
• Experience building evaluation, benchmarking, or analysis frameworks.
• Strong analytical thinking and technical communication skills.
• Bachelor’s, Master’s, or PhD in a related field, with 5+ years of relevant experience.

Preferred Qualifications

• Experience evaluating algorithms under real-time, power, and memory constraints.
• Familiarity with perceptual image quality, human visual factors, and system-level evaluation methodologies.
• Experience working with cross-functional or external algorithm partners.