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AAerovect

Software Engineer, Localization, Calibration & Mapping

Aerovect

Remote
Full-Time

Description

  • Extend and maintain our localization regression suite and CI-based validation pipeline

  • Build metrics and analyzers that catch performance degradation before it reaches production

  • Develop localization health monitoring and diagnostics tooling

  • Work with real sensor data from autonomous operations to validate and debug localization performance

  • Support the team on general localization tasks - sensor integration, performance tuning, platform migrations - with increasing scope over time

  • 2+ years of experience in robotics or autonomous vehicles

  • Strong Python/C++ skills

  • Experience with Linux and ROS/ROS2

  • Hands-on experience building test or validation infrastructure - replay pipelines, automated metrics, regression frameworks

  • Understanding of localization fundamentals (sensor fusion, SLAM, GNSS/INS)

  • BS in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field

  • MS with focus on localization, state estimation, or robotics

  • Experience with CI/CD pipelines for offline evaluation at scale

  • Familiarity with graph-based SLAM or optimization tools (GTSAM, Ceres, GLIM)

  • Exposure to embedded compute platforms (Jetson or similar)

  • Experience with safety-critical validation or V&V processes

About Aerovect

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