Staff Research Scientist, Localization and Mapping (Robotics)

Location: Singapore; work arrangement: on-site

Company

hirify.global develops safe-speed autonomous logistics systems and deploys autonomous 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 accuracy and reliability in GPS-denied and dynamic industrial environments.
• Define software architecture, performance metrics, testing strategies, and deployment standards.
• Collaborate with perception, planning, controls, infrastructure, data, testing, and operations teams on production deployments.

Requirements

• Ph.D. or Master’s 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.
• Strong proficiency in C++, GPU programming, and real-time robotic systems; familiarity with ROS or ROS2 is preferred.
• Deep knowledge of SLAM, sensor fusion, Kalman filtering, 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, and fleet-scale release validation.
• Demonstrated ability to mentor engineers, guide technical direction, and collaborate across multidisciplinary teams.

Nice to have

• Familiarity with ROS or ROS2.
• Experience with real-world outdoor robotics deployments involving sensor degradation and maintenance.

Culture & Benefits

• Work with a closely-knit, international engineering team focused on autonomous logistics technology.
• Contribute to systems deployed in real industrial and logistics environments.
• Collaborate across offices in Singapore, Suzhou, and Cambridge.