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Magic Leap // augmented reality tech
 
Engineering, Full Time    Toronto, Ontario    Posted: Thursday, May 02, 2019
 
   
 
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JOB DETAILS
 
Job Description

Mixed reality devices need to sense & understand the world around them with tremendous precision & speed. Great ingenuity is required, as this must be done under tight power & size constraints. A wide variety of cameras, 3D sensors, inertial sensors, light projectors, & other components will be at your disposal. You will use your expertise to conduct experiments, develop algorithms, & perform analysis to help design the best sensing systems for our products. This is a critical role that provides the underpinnings for many core product features, & greatly impacts our product design & performance.

Responsibilities:

  • Perform trade-off study to choose appropriate algorithms based on deep understanding of embedded platform
  • Prototype embedded algorithms for advanced computer vision, deep learning algorithms for pose estimation, 3D modeling, object recognition, & eye tracking that take advantage of novel sensor choices & configurations.
  • Participate in strategic discussions around sensor architecture & prototype algorithms arising from creative combinations of sensors
  • Mature prototype algorithms to product worthy features.
  • Gather requirements & constraints from cross discipline teams, understand other proposed solutions, design & evaluate algorithms incorporating these nuances.
  • Define metrics for algorithm performance, & design robust, partially automated experiments to obtain quantitative data against these metrics on an ongoing basis.
  • Push the boundaries of accuracy, noise, & other performance indicators for a variety of sensing systems with best possible architectural & algorithmic design.
  • Document, organize, & disseminate information about specifications, performance, alternate possibilities, & strategy.
Qualifications:

  • Capable during the entire development cycle: problem definition, research stages, algorithm design, implementation, & productization
  • Proven fluency in C/C++ or assembly programming on embedded platform
  • Strong experience with computer vision & deep learning algorithms & development
  • Family with RTL, DSP, VHDL, Verilog
  • Exceptional written & verbal communications skills
  • A working knowledge of statistics for data characterization & hypothesis testing
  • Experience with electronic development & test equipment (debuggers, emulators, oscilloscopes, logic & spectrum analyzers, etc.)
  • Experience with control systems a plus
Education:

 
 
 
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