Global Mapping & SLAM Engineer (Robotics)

Location: Zurich, Switzerland; hybrid workplace

Company

hirify.global is a Series A ETH Zurich spin-out developing autonomous robotic construction machines by combining learning-based automation, remote control, perception, and control technologies.

What you will do

• Design and deploy large-scale georeferenced mapping systems for autonomous heavy machinery operating on continuously changing construction sites.
• Build global dynamic mapping pipelines that maintain accurate, current, and semantically meaningful representations of evolving terrain and machine activity.
• Develop multi-sensor fusion and SLAM algorithms for mapping, localization, state estimation, and calibration in challenging outdoor environments.
• Fuse GNSS, LiDAR, cameras, IMUs, and fleet-level data to support autonomy, remote operation, site understanding, and long-term map maintenance.
• Define metrics, validation methods, datasets, field-testing procedures, and benchmarking frameworks for map quality, localization accuracy, robustness, and runtime performance.
• Deliver production-quality implementations and documentation while collaborating across robotics, software, hardware, operations, and product teams.

Requirements

• Master’s or PhD in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, Geomatics, or a related field.
• 3+ years of experience developing mapping, SLAM, localization, or state estimation systems for real-world robotic platforms.
• Strong understanding of coordinate frames, calibration, sensor synchronization, uncertainty modeling, and real-time robotics systems.
• Experience with LiDAR-inertial odometry, pose graph optimization, loop closure, scan matching, map alignment, and georeferencing.
• Production-quality C++ and/or Python development in a Linux environment.
• Proficiency in English is required for communication and collaboration.

Nice to have

• Experience with global, lifelong, multi-session, or semantic mapping and dynamic scene understanding.
• Experience with factor-graph optimization frameworks, mapping backends, geospatial data formats, or large-scale map infrastructure.
• Experience deploying perception, mapping, or autonomy systems on construction, mining, agricultural, autonomous, or other heavy-equipment platforms.
• Ability to balance accuracy, robustness, latency, scalability, and maintainability at the system level.

Culture & Benefits

• Work in a multidisciplinary, international team developing robotics technology for the construction industry.
• Contribute to deployed systems with global impact and leading construction and equipment partners.
• Work-life balance and flexibility are considered during the interview process, with the preferred working arrangement open for discussion.
• Inclusive equal-opportunity workplace committed to diversity and nondiscrimination.