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

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

Location:

San Jose

Team:
Technology

Employment Type:

Regular

Job Code: A221408B

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.

Job Information

Compensation Description (Annually):
The base salary range for this position in the selected city is $122574 - $223200 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or…