Imaging Systems Engineer - Smart Wearable - Pico- San jose

As a world-renowned VR/AR brand with independent innovation and R&D capabilities, Pico has been at the forefront of the consumer electronic market.

We have teams in Europe, Japan and South Korea.

Now we are looking for experts in image pipeline to join us to build our AR/VR imaging team.

Responsibilities: -Drive development of camera pipelines and tuning processes to optimize image quality for smart wearable devices.

-Implement and innovate algorithms for image and video enhancement, addressing challenges like low-light performance, noise reduction, and dynamic range.

-Establish scalable methodologies for camera tuning and image quality evaluation.

-Develop metrics and benchmarks for assessing and maintaining high image quality standards.

-Collaborate with hardware, firmware, and software teams to ensure seamless integration of imaging systems.

-Align camera system outputs with machine vision tasks and vision-language models for wearable applications.

-Manage and mentor a team of imaging experts or provide technical leadership in cross-functional settings.

Minimum Qualifications: -Expertise in camera pipeline development, image signal processing (ISP), and image quality evaluation.

-Proficiency in developing algorithms for image enhancement, including HDR, color correction, and low-light optimization.

-Experience with machine vision applications, particularly involving AI-based systems like vision-language models.

-Knowledge of power-efficient algorithm design for wearable or embedded devices.

-Familiarity with systematic tuning methodologies and automated camera calibration tools.

-Bachelor's, Master's, or PhD in Electrical Engineering, Computer Science, or a related field, with 5+ years of relevant experience.

Preferred Qualifications: -Experience with AI-driven imaging solutions.

-Knowledge of smart wearable design constraints and user experience considerations.

-Familiarity with scripting languages (e.g., Python) for image quality testing and automation.