Software Engineer, Localization, Calibration & Mapping
Aerovect
Description
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Extend and maintain our localization regression suite and CI-based validation pipeline
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Build metrics and analyzers that catch performance degradation before it reaches production
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Develop localization health monitoring and diagnostics tooling
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Work with real sensor data from autonomous operations to validate and debug localization performance
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Support the team on general localization tasks - sensor integration, performance tuning, platform migrations - with increasing scope over time
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2+ years of experience in robotics or autonomous vehicles
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Strong Python/C++ skills
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Experience with Linux and ROS/ROS2
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Hands-on experience building test or validation infrastructure - replay pipelines, automated metrics, regression frameworks
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Understanding of localization fundamentals (sensor fusion, SLAM, GNSS/INS)
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BS in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field
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MS with focus on localization, state estimation, or robotics
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Experience with CI/CD pipelines for offline evaluation at scale
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Familiarity with graph-based SLAM or optimization tools (GTSAM, Ceres, GLIM)
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Exposure to embedded compute platforms (Jetson or similar)
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Experience with safety-critical validation or V&V processes
About Aerovect
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