XR Camera and Machine Vision Engineer Graduate

About the Role

PICO is a leading VR/AR platform focused on VR all-in-one technology. We are committed to providing immersive and interactive VR experiences and tailor-made solutions for enterprise clients in education and healthcare. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

Key Responsibilities

• Develop power & computational efficient machine vision perception systems.
• Camera system level HW and SW development.
• Design experiments and test platforms for visual performance evaluation.
• Optimize machine vision algorithm/framework for edge devices with efficient HW/SW architecture.
• Define specs for next generation VR/MR/AR cameras and see-through experiences.

Requirements & Tech Stack

• Python and C/C++ (Matlab a plus).
• Proactive, self-motivated, strong communication in a fast-paced, highly multidisciplinary team.

Qualifications

• Individuals completing or recently completed a PhD in EE, ECE, CS, Applied Physics, or a related technical discipline.
• Direct experience with cameras / optical image sensors and computer vision on real images (e.g., CMOS/CIS, event cameras, computational imaging, or camera-based perception).
• Hands-on hardware: physically built and prototyped real systems (PCB, FPGA, sensor/optical front-end bring-up, embedded).
• Modern ML/vision: research-level computer vision, efficient perception, or foundation models, with real understanding of what modern models need from the input data.

Preferred Qualifications

• Work at the hardware–algorithm intersection: sensor-algorithm co-design, near-/in-sensor compute, event cameras, computational imaging, efficient/edge perception.
• Fluency leveraging VLM/LLM/foundation models to build or accelerate perception systems.
• Low-power/edge deployment, power-performance modeling, or AI-accelerator-aware model design.
• 3D computer vision / reconstruction; image-processing pipeline development.