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Ocado Technology

Robotics Software Developer

๐Ÿ“ŒToronto, Canada ๐Ÿ‡จ๐Ÿ‡ฆ

โฑ๏ธŽ full-time

๐Ÿง™โ€โ™‚๏ธ mid-level

About Us

We are Ocado Technology (previously part of the Kindred acquisition) and we empower global grocery retailers with cutting-edge cloud, robotics, AI, and IoT. Our intelligent automation product engineering development center is in Toronto, Canada, where a team of brilliant engineers are developing disruptive material handling systems for the online grocery industry and other retail verticals. We aim to enhance the lives of human workers with the power of AI robotics, by developing robots to solve real-world problems. If you are excited about the cross-section where machines meet humans, about the future of work, retail and supply chains, and want to help transform the grocery logistics industry, we are interested in getting to know you.

Every day will bring new and exciting challenges on the job while you:

  • Develop, evaluate and optimize algorithms related to the production of advanced robotic products
  • Implement new control algorithms and experiment/characterize physical hardware
  • Performing simulation runs to validate mathematical models, new parameters, and algorithms
  • Investigate new technologies, identify bottlenecks, improve processes, create roadmaps, and further robotics software development and robotics research at Ocado
  • Mentor, grow, and motivate junior team members, interns, and peers

What You Bring

  • Experience programming with Python, C, and/or C++
  • Experience in robotics, machine learning, and optimization.
  • Understanding of modelling and control algorithms for robotic systems
  • Understanding of learning-based algorithms and their application to robotic systems
  • Experience working with robotic sensors such as cameras and force sensors
  • Ability to work in a team and transfer knowledge

Bonus Qualifications

  • Master's or Doctorate degree in engineering with a focus in robotics or similar experience
  • Experience modelling robotic manipulators
  • Experience with adaptive, optimal, and learning-based control for robotic manipulation
  • Familiarity with robotic applications that involve contact with the environment and manipulation
  • Experience working with different robotic grippers
  • Experience using physics-based simulation to develop robot control policies
  • Experience with real time control

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  • Employment

    โฑ๏ธŽ full-time

  • Experience

    ๐Ÿง™โ€โ™‚๏ธ mid-level

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  • Industry
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