Staff Software Engineer (Robotics)

TL;DR

Staff Software Engineer (Robotics): Owning and scaling the localization, mapping, and calibration stack for autonomous ground handling vehicles with an accent on LiDAR-inertial-GNSS state estimation and sensor fusion. Focus on driving autonomous systems from supervised operation to driverless reliability through robust architecture design and production-grade deployment.

Company

hirify.global is a Series A startup transforming ground handling operations for global airlines and service providers through autonomous driving technology.

What you will do

• Take ownership of core localization stack areas including state estimation, 3D mapping, and sensor calibration.
• Contribute to the full pipeline from sensor integration and performance tuning to deployment on real hardware.
• Design and build online validation systems to monitor localization integrity and safety-critical consistency.
• Develop diagnostic tooling and health logging for post-mission analysis.
• Define regression, validation, and release-gating strategies for airport deployments.
• Iterate on autonomous system performance using real-world operational data.

Requirements

• 8+ years of experience in robotics or autonomous vehicles with a track record of production deployment.
• Deep practical expertise in multi-sensor fusion (LiDAR, IMU, GNSS, cameras) and state estimation.
• Strong command of non-linear optimization (Ceres, GTSAM, g2o) and filtering techniques (EKF, UKF).
• Proficiency in modern C++ (C++17+), Linux, and ROS/ROS2.
• Demonstrated technical leadership in driving architecture and solving complex estimation problems.
• BS or MS in Computer Science, Robotics, or related engineering field.

Nice to have

• MS or PhD focusing on localization, state estimation, or calibration.
• Hands-on experience with intrinsic, extrinsic, and temporal multi-sensor calibration.
• Experience with factor graphs, graph-based SLAM, or tools like GLIM, LIO-SAM, and Cartographer.
• Background in building safety-relevant monitoring architectures for autonomous systems.