Staff Software Engineer, Localization

AeroVect

. Own one or more core areas of the localization stack, including LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration .

Posted 9/24/2026full-timeRemote • Poland, United Kingdom, France, Canada, United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in localization and state estimation for autonomous vehicles, with a strong focus on multi-sensor fusion, non-linear optimization, and safety architecture integration. Proven ability to lead technical direction and drive production deployment in real-world environments.

Highest-signal resume keywords

Localization Systems OwnershipMulti-Sensor FusionNon-Linear Optimization (Ceres, GTSAM, g2o)Modern C++ (C++17+)Robotics or Autonomous Vehicles Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

State EstimationSensor Calibration3D MappingPerformance TuningRegression TestingDiagnostics ToolingHealth LoggingGraph-Based SLAMFactor GraphsOnline Monitoring

Soft Skills

Technical LeadershipCollaboration

Tools & Technologies

LinuxROSROS2CeresGTSAMG2oGLIMLIO-SAMCartographerKalibr

Industry Keywords

Autonomous OperationsDriverless OperationSafety ArchitectureLocalization DriftCalibration Quality Propagation

Tech Stack

Tools & technologies

LinuxC++

About the role

Key responsibilities & impact

Own one or more core areas of the localization stack, including LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration
Drive localization workstreams to production reliability on real hardware at active airports
Contribute across sensor integration, performance tuning, regression testing, and deployment to new operating environments
Design and build online validation monitoring localization integrity and cross-sensor consistency during live missions
Detect localization drift and integrate validation with the vehicle’s safety architecture
Develop tooling for diagnostics, health logging, and post-mission analysis
Contribute to regression, validation, and release-gating approaches for localization changes deployed to active airports
Deploy, test, and iterate using data from real autonomous operations
Contribute to the team’s technical direction and partner across perception, planning, and platform interfaces
Help drive autonomous ground operations from supervised operation toward driverless operation

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 and setting direction
Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF)
Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2
Understanding of calibration quality propagation through localization and perception, and localization errors into the safety case
BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field
Hands-on experience with multi-sensor calibration—intrinsic, extrinsic, and temporal
Experience with factor graphs, graph-based SLAM, or tools such as GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM
Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture
Track record of taking an autonomous system toward driverless operation