Real Time Ray Tracing Imaging- BC-506

Desired discipline(s): Engineering - computer / electrical, Engineering, Physics / Astronomy, Natural Sciences
Company: Nedieon Inc.
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: English
Location(s): PORT COQUITLAM, BC, Canada
No. of positions: 1
Preferred institutions: Simon Fraser University, University of Victoria

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About the company: 

Nedieon’s proprietary technologies reinvents light industrial vehicles in the emerging category of Autonomous Ground Vehicles (AGV). Nedieon's IP delivers significant efficiencies to Agriculture, Logistics, and Health Care markets.


Please describe the project.: 

Nedieon is looking for Software/ Engineering(Electrical, Computer, Physics)/Robotics  student (4th year or M.A.Sc) to develop (near) Real Time Ray tracing algorithms for determining light exposure as a function of distance and surface type using Simultaneous Localization and Mapping (SLAM), Time of Flight (TOF), Machine vision and deep learning algorithms.  

Required expertise/skills: 

We are looking for a candidate with strong coding skills in C++


  • Deep Learning based image processing
  • Machine Vision
  • SLAM (Simultaneous Localization and Mapping)
  • TOF (Time of Flight) and/or LIDAR systems
  • Linux