AeroVect

1 month ago

Staff Software Engineer, Localization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Staff Software Engineer to own core areas of AeroVect’s localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping, sensor calibration) and drive production reliability on real hardware at airports. Collaborate across perception, planning, and platform interfaces, design online validation, and build tooling for diagnostics and post-mission analysis to ensure robust, cross-sensor localization in autonomous operations.

Location: Toronto, New York, London, Atlanta, Paris

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
•Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
•Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
•Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
•Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
•Deploy, test, and iterate using data from real autonomous operations

Key Requirements

•8+ years in robotics or autonomous vehicles with production deployment experience in localization or state-estimation systems
•Deep grounding in multi-sensor fusion across LiDAR, IMU, GNSS, and cameras
•Demonstrated technical leadership—driving architecture across teams and resolving hard estimation problems
•Strong command of non-linear optimization (e.g., Ceres, GTSAM, g2o) and/or filtering (EKF, UKF) and knowing when to apply which
•Strong modern C++ (C++17+) and deep experience with Linux and ROS/ROS2

Experience:8+ yearsRoboticsAutonomous vehiclesState estimationSensor fusion

Education:Master's in Computer Science, Robotics, Electrical/Mechanical Engineering

Skills:LeadershipProblem-solvingTeam collaborationCommunication

Languages:English

Tech Stack:C++ROSROS2LiDARIMUGNSSKalibrCeresGTSAMEKFUKFGLIMLIO-SAMCartographerPythonLinux

Company Brief

AeroVect

AeroVect develops autonomous driving systems (AeroVect Driver) for ground support equipment to automate baggage, cargo and airfield logistics using lidar, radar, cameras and embodied AI, deploying at major airports and working with airlines and ground handlers.

Industry: Robotics

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: South San Francisco, United States

Founded: 2020

Glassdoor: 1.0

Website LinkedIn Glassdoor

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AeroVect

1 month ago

Staff Software Engineer, Localization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Toronto, New York, London, Atlanta, Paris

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports
•Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments
•Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
•Develop tooling for diagnostics, health logging, and post-mission analysis across the stack
•Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports
•Deploy, test, and iterate using data from real autonomous operations

Key Requirements

•8+ years in robotics or autonomous vehicles with production deployment experience in localization or state-estimation systems
•Deep grounding in multi-sensor fusion across LiDAR, IMU, GNSS, and cameras
•Demonstrated technical leadership—driving architecture across teams and resolving hard estimation problems
•Strong command of non-linear optimization (e.g., Ceres, GTSAM, g2o) and/or filtering (EKF, UKF) and knowing when to apply which
•Strong modern C++ (C++17+) and deep experience with Linux and ROS/ROS2

Experience:8+ yearsRoboticsAutonomous vehiclesState estimationSensor fusion

Education:Master's in Computer Science, Robotics, Electrical/Mechanical Engineering

Skills:LeadershipProblem-solvingTeam collaborationCommunication

Languages:English

Tech Stack:C++ROSROS2LiDARIMUGNSSKalibrCeresGTSAMEKFUKFGLIMLIO-SAMCartographerPythonLinux

Company Brief

AeroVect

Industry: Robotics

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: South San Francisco, United States

Founded: 2020

Glassdoor: 1.0

Website LinkedIn Glassdoor