Computer Vision Algorithm Engineer

Indoor Robotics

About The Position

About us:

“Any sufficiently advanced technology is indistinguishable from magic” - Arthur C. Clarke 

At Indoor Robotics we believe in a world that operates autonomously around us to facilitate our lives and fulfill our needs. We build the next generation robots (ground and flying) for indoor usages. More specifically we design, develop and produce autonomous, aware, mobile and affordable robots that solve real world problems in indoor scenarios. We strive to create a physical infrastructure and middleware for indoor robots that can navigate in the indoor space, understand their environment and execute real time missions

We are currently looking for an awesome team member to join us to invent and produce best quality robotics products for consumers and professionals. 

Computer Vision Algorithm Engineer

Working as part of the algorithms team, you will join us in developing the visual cortex of the robot. You’ll be in charge of developing visual localization and mapping algorithms on edge devices, evaluating existing solutions and analyzing data to understand the robot performance.   

Joining a small team, you will have a broad responsibility and the ability to affect each and every aspect of the system, and many options to grow with the company.



  1. BSc, preferably MSc in Computer Science, Electrical Engineering, Robotics or equivalent. 
  2. At least 3 years experience in computer vision and AI - Must.
  3. Knowledge in visual localization and depth estimation
  4. Professional in C/C++ and Python.
  5. Experience in building software for autonomous machines.
  6. Have strong passion in unmanned system development and application.
  7. Ability to work under pressure and complete tasks on time.
  8. Team player (We are all sharing one space).

Preferred Skills/Experiences:

  1. Expertise in ROS.
  2. Experience with CUDA - Major advantage. 
  3. Experience with edge AI development 
  4. Experience with Nvidia edge products (Jetson)
  5. MSc/PhD in a relevant field

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