Backend Software Engineer building identity decisioning systems and KYC - compliant services for Affirm’s buy - now - pay - later platform. Developing distributed systems with Python or Kotlin across financial product teams.
About the role
- Staff Software Engineer owning localization, mapping, and calibration for AeroVect’s autonomous airport ground-handling vehicles. Driving production reliability and supervised-to-driverless operations.
Responsibilities
- 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
- 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
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