Team Lead, Localization and Mapping Research (Autonomous Vehicles)

Location: Singapore; on-site

Company

hirify.global develops autonomous logistics systems and driverless vehicle technologies for industrial and logistics sites.

What you will do

• Lead the design and development of localization and mapping systems for autonomous logistics vehicles.
• Architect scalable HD map generation, maintenance, regression, and deployment pipelines.
• Develop multi-sensor localization using LiDAR, GNSS, IMU, cameras, and wheel odometry.
• Improve localization reliability in GPS-denied and dynamic industrial environments.
• Define software architecture, performance metrics, testing strategies, and deployment standards for safety-critical autonomy modules.
• Mentor engineers and researchers while driving the technical roadmap, prioritization, field testing, and production deployment.

Requirements

• Master’s or Ph.D. degree in Computer Science, Robotics, Engineering, or a related field, focused on localization or mapping for autonomous systems.
• 7+ years of experience in robotics, autonomous vehicles, or localization and mapping systems.
• 2+ years of technical leadership or people management experience.
• Strong C++, GPU programming, and real-time robotics experience; familiarity with ROS or ROS2 is preferred.
• Deep knowledge of SLAM, sensor fusion, state estimation, Kalman filters, LiDAR and visual odometry, HD mapping, sensor calibration, and machine learning for localization and map semantics.
• Experience with safety-critical software development, simulation regression testing, fleet-scale release validation, technical leadership, mentoring, and multidisciplinary collaboration.

Culture & Benefits

• Work with an international engineering team focused on disruptive autonomous logistics technology.
• Collaborate across perception, planning, controls, testing, operations, infrastructure, and data services.
• Contribute to autonomy systems deployed in real industrial and logistics environments across Asia.