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Skills
Accounts Receivableunmatched
Algorithmsunmatched
Applied Physicsunmatched
Artificial Intelligence (AI)unmatched
C Programming Languageunmatched
C++ Programming Languageunmatched
CMOSunmatched
Communication Skillsunmatched
Computer Programmingunmatched
Computer Visionunmatched
Cross-Functionalunmatched
Customer Experienceunmatched
Data Entryunmatched
Embedded Systemsunmatched
Experiment Designunmatched
FPGAunmatched
Hardware Architectureunmatched
Hardware Developmentunmatched
Healthcareunmatched
Image Processingunmatched
Low Powerunmatched
MATLABunmatched
Onboardingunmatched
Performance Analysisunmatched
Performance Modelingunmatched
Performance Reviewsunmatched
Printed Circuit Board (PCB)unmatched
Prototypingunmatched
Python Programming/Scripting Languageunmatched
Requirements Managementunmatched
Research & Development (R&D)unmatched
Software Architectureunmatched
Software Developmentunmatched
Test Designunmatched
User Interface/Experience (UI/UX)unmatched
Description
About Team:
PICO is a leading VR/AR platform with independent innovation and R&D capabilities, focusing on VR all-in-one technology. PICO is committed to offering immersive and interactive VR experiences to our customers, including providing tailor-made solutions for our enterprise clients in the fields of education and healthcare.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
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.Minimum Qualifications
Individuals who are completing or have 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 - CMOS/CIS, event cameras, computational imaging, or camera-based perception.
Hands-on hardware: physically built and prototype 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.
Strong programming: Python and C/C++ (Matlab a plus).
Proactive, self-motivated, strong communication in a fast-paced, highly multidisciplinary team.
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.