Staff Software Engineer, Localization

AeroVect

Staff Software Engineer developing localization systems for autonomous ground operations at AeroVect. Taking ownership of localization stack and ensuring production reliability at active airports.

Posted 6/18/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

C++Linux

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware
Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras
Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems
Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies
Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case
BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
MS or PhD with a focus on localization, state estimation, or calibration is preferred

Benefits

Comp & perks

Competitive salary
Flexible work hours
Professional development budget
Home office setup allowance
Global team events

ATS Keywords

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Hard Skills & Tools

localizationstate estimationmulti-sensor fusionnon-linear optimizationCeresGTSAMg2oEKFUKFC++

Soft Skills

technical leadershipproblem-solvingcommunication

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in RoboticsMS in RoboticsPhD in RoboticsBS in Electrical EngineeringMS in Electrical EngineeringPhD in Electrical EngineeringBS in Mechanical Engineering