AeroVect

AeroVect provides autonomous driving platforms that automate baggage and cargo handling on airport aprons to improve safety and throughput. The company combines embodied AI with lidar, radar, cameras…

AerospaceAirport AutomationArtificial IntelligenceAutonomous DrivingAviationLogisticsPhysical AITransportationaerovect.com

AeroVect

AerospaceAirport AutomationArtificial IntelligenceAutonomous DrivingAviationLogisticsPhysical AITransportationaerovect.com

HQSouth San Francisco, US

Team Size56

Open Jobs9

Total Funding$27M

Latest Fundraise2 years ago

Join the Team

Senior Software Engineer, Localization

RemoteToronto, Ontario, CA

Remote • Toronto, Ontario, CA

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Who We Are AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

In this role as Senior Software Engineer, Localization You Will

Identify and solve gaps in the current localization and mapping system that operates in mixed indoor and outdoor environments
Implement, deploy, test and maintain new localization capabilities for the autonomous system
Develop and maintain the sensors calibration across sensors, time, and vehicles
Develop online validation and calibration tools
Collaborate with our localization team and autonomy sub teams (planning, perception, infrastructure) to successfully deploy the autonomous system

You Have

Bachelor’s Degree or Master’s Degree candidate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field
5+ years of work experience in development of robotics, industrial automation or autonomous driving
Theoretical knowledge in either localization or calibration
Strong C++ programming
Working experience with a Linux based Operating System (Ubuntu, Debian) and Robot Operating System (ROS/ROS2) middleware, OpenCV
Proven experience with non-linear optimization like graph-based optimization or any filtering algorithms like EKF, UKF, Particle filters
Demonstrated work experience with various sensors such as LiDARs, Camera, IMU, GPS/GNSS, Radar, etc

We Prefer

MS or PhD in Computer Science, Math, Robotics or a related field
8+ years of work experience in development of robotics, industrial automation or autonomous driving
In-depth understanding of middleware frameworks like ROS2
Proven experience with factor graphs and graph slam algorithms
Proven experience with non linear solvers like Ceres, GTSAM, g2o
Proven experience working with GPS/GNSS systems integrating them into INS solutions