Parkopedia was founded with the mission of being able to answer any parking question, anywhere in the world.
Today, Parkopedia is the world’s leading parking services provider used by millions of drivers and organisations ranging from Apple to Volvo.
We are looking for a SLAM Research Engineer who’s interested in maps to join our Autonomous Driving team. We’re part of a global team, but based in the London Office, which is a short walk from London Bridge.
In the Autonomous Driving team we’re creating Highly Autonomous Driving (HAD) indoor parking maps and testing those maps on our autonomous car to ensure that they are suitable for localisation and navigation. As a SLAM Research Engineer you will work with the raw data that we collect to ensure high fidelity reconstruction of colourised point clouds for the car parks that we're mapping. You will take responsibility for the improving the quality of reconstructions through improvements to the algorithms and software.
Designing, implementing and testing software in Python and C++
Reviewing code from other team members to ensure a high quality code base
Documenting and clearly articulating your work and progress
Embracing agile methodology and reporting to the project manager for planning
Assisting other team members with their work
Assisting in identifying staff training and development needs
You will have
A Master's or PhD in Computer Vision or Robotics
Experience with SLAM e.g. monocular, stereo, visual-inertial, LiDAR or RGBD
Strong software development skills in C++ and Python
Experience with the Robot Operating System (ROS) or ROS2
Experience working with hardware such as camera, LiDAR, IMU, GNSS and associated drivers
Linux (or other Unix-like) programming experience including shell scripting
Experience with version control systems especially Git and continuous integration tools like Github Actions (preferable), Travis, Jenkins or GitLab
Any of the following would be a plus
Industrial experience in commercial development of computer vision-enabled or robotics products
Experience working with point cloud data and PCL
Experience using libraries such as Ceres, G20, OpenCV, OpenGV, OpenSfM or Eigen
Parkopedia is committed to building a great work environment for all our employees. Here are just a few of the benefits that we offer
Unlimited annual leave - yup, time off is as important as time in the office, we all need to unwind and recharge our batteries!
Flexible working hours
Annual company retreat
Thursday team lunch every other week on us!
Time off for volunteering
We are an equal opportunities employer and believe in the power of a diverse, inclusive team. We welcome applications from all suitably qualified people, regardless of race, sex, disability, religion/belief, sexual orientation or age