C2RO (Collaborative Cloud Robotics) is a leader in artificial intelligence and computer vision solutions for mobile robots. C2RO’s mission is to increase the autonomy of robots and enable multi-robots collaborations for performing complex tasks. Our cloud-based platform connects robots in the cloud and processes their sensor data in real-time in a secure and reliable manner. Using our software-only solution, robots can share knowledge using the latest advancements in artificial intelligence and computer vision algorithms. We’re keen to bridge the gap between the robotics industry and cutting-edge academic research in cloud robotics and computer vision.

C2RO is currently incubated at TandemLaunch Inc., a Montreal-based incubator and venture capital firm that works with driven entrepreneurs to turn research from the world’s best universities into exceptional consumer technology companies. TandemLaunch has repeatedly built high growth companies such as LANDR, Mirametrix, Algolux, IRYStec, and SPORTLOGiQ.

We are an experienced, agile and highly passionate team, who wants to change the way robotics is done. We have raised our seed funding in October 2016, and have successfully acquired patent-pending technologies from the top world universities. Using our technology, we have demonstrated the collaboration between mobile robots and drones at CES 2017 (the largest Consumer Electronics Show in the world in Las Vegas), where we engaged with some of the top innovative robotic companies for robot delivery, personal assistant robots and service robots.

The Role

If you are a technology enthusiast, with an entrepreneurial spirit, a computer vision and machine learning background, and want to solve real-world challenges, this position is for you! You will work in a multi-disciplinary environment with cutting-edge technologies & real robots. You will be part of an innovative team, and will have a true and significant impact on the end products. You will constantly improve your skills and knowledge in the area of Cloud Computing, Robotics, and AI as the top three future technologies. You will have the opportunity to closely interact with the co-founders and contribute to R&D.

We are currently looking for a Computer (Robotic) Vision and Machine Learning Engineer to design and develop our application programming interfaces (APIs) for mobile robots. This include developing APIs for Object Recognition, Object Tracking, Localization and Mapping using optical sensors. Responsibilities also include the deployment of those technologies on a wide variety of mobile robots such as delivery robots, companion robots, vacuum cleaners, and drones.


  • At least, a Master degree in computer science, engineering, or software robotics (or last year PhD student) and legally allowed to work in Canada.
  • In case that you are still a student, being currently a graduate student at a Canadian University and eligible to Mitacs is a plus. In that situation, the role can be also lead to a full-time position.

Job responsibilities

  • Work closely with the research and business team to design, develop, and deploy robotic APIs using machine learning and computer vision.
  • Communicate on a daily basis with the team on progress, issues, and risks following an agile methodology.
  • Transfer cutting-edge technologies into products.

Minimum qualification

  • Having 4+ years of experience in Java or Python
  • Knowledge in computer vision and machine learning
  • Flexibility: ability and willingness to learn new technologies such as cloud-related technologies and program in other languages
  • Excellent verbal and written communication skills in English
  • Self-directed: ability to work in a team as well as individually

Preferred qualification

  • Experience with the deployment of application in a cloud infrastructure (e.g., Amazon EC2) and cloud technologies (e.g., Linux Container)
  • Experience in robotics (e.g., ROS)

Send your resume along with a cover letter explaining why you are excited about C2RO and what makes you a great candidate for this opportunity! Please note that we will only reply to the selected candidates.