XR Camera and Machine Vision Engineer Graduate (PICO) - 2027 Start (PhD)

About the Team

PICO is a leading VR/AR platform with independent innovation and R&D capabilities, focusing on VR all-in-one technology. We are committed to offering immersive and interactive VR experiences to our customers, including providing 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. Successful candidates must be able to commit to an onboarding date by the end of the year.

Responsibilities

• Develop power- and computationally-efficient machine vision perception systems.
• Perform camera system-level hardware and software development.
• Design experiments and test platforms for visual performance evaluation.
• Optimize machine vision algorithms/frameworks for edge devices with efficient hardware/software architecture.
• Define specifications for next-generation VR/MR/AR cameras and see-through experiences.

Qualifications

Minimum Qualifications

• Individuals completing or who 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 (e.g., CMOS/CIS, event cameras, computational imaging, or camera-based perception).
• Hands-on hardware experience: physically built and prototyped real systems (PCB, FPGA, sensor/optical front-end bring-up, embedded).
• Modern ML/vision expertise: research-level computer vision, efficient perception, or foundation models, with a real understanding of what modern models need from input data.
• Strong programming skills in Python and C/C++ (MATLAB a plus).
• Proactive, self-motivated, with strong communication skills for 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, or 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 or image-processing pipeline development.

Pay

The base salary range for this position is $122,574 – $223,200 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is one part of the total package, which may include additional discretionary bonuses, incentives, and restricted stock units.

Benefits

• Day-one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).