- Contribute to the implementation of various components of our robot perception system (e.g. object detection/tracking, terrain mapping, situation classification, structure detection during docking, and anomaly detection).
- Develop/improve the implementation of each step of our sensor data processing pipeline as well documented industry ready software modules and libraries. Currently we use Python (for neural network model training) and Rust/C++ (for deployment
- Carry out QA of the perception algorithms on the robot during prerelease testing.
- Help build benchmarks to automatically test the performance of the perception system in a range of edge cases.
- Help build tools that allow us to monitor the performance of the perception system when deployed in the field.Provide support and issue triage for deployments of the robot.
- Carry out testing and characterization of cameras, laser scanners and other sensor devices.
- Work closely with other teams (e.g. navigation team and fleet management team) to ensure operational requirements are met.
What we're looking for is someone with
- Proven experience related to real world deployments of combined hardware/software devices. Having experience in a university or industrial research and development setting is an advantage.
- Proven experience in software development with good understanding on software development lifecycle and design patterns.
- An eye for detail, and commitment and enthusiasm to see your algorithms working on real robots.
- Good communication and presentation skills and ability to work well within a team.
What we're offering
- Opportunity to conduct both industrial R&D and robotic software development on actual mobile robot products.
- Working in a diverse multi-cultural team that is open to quick experimentation.
- Access to state-of-the-art development and testing facilities.
