Robotics Software Engineer – Navigation

Location: Warsaw, Poland; onsite / hybrid

Company

hirify.global develops autonomous mobile robots and complete robotics solutions for industrial facilities, warehouses, and logistics centres, including electronics, control systems, navigation, sensor integration, robot software, and fleet-management cloud services.

What you will do

• Develop autonomous navigation systems, global and local trajectory-planning algorithms, motion controllers, and trajectory-tracking algorithms.
• Build obstacle detection and avoidance, costmaps, traversability maps, environment representations, and navigation behaviours for dynamic industrial environments.
• Develop mission, waypoint, zone, traffic-rule, emergency-recovery, docking, coverage-planning, and route-planning mechanisms.
• Integrate navigation with localisation, safety sensors, drive control, ROS, ROS 2, and Nav2-based solutions.
• Test algorithms in simulation and on physical robots, prepare navigation-quality metrics, and analyse logs, rosbags, trajectories, and telemetry.
• Collaborate with SLAM, embedded, machine-learning, safety, and fleet-management teams while diagnosing issues during customer deployments.

Requirements

• At least 2 years of relevant professional experience developing autonomous navigation systems for mobile robots.
• Practical knowledge of ROS or ROS 2 and Nav2, the ROS Navigation Stack, or similar solutions.
• Good knowledge of C++ and/or Python, motion-planning and graph-search algorithms, local planning, and obstacle avoidance.
• Understanding of mobile-robot kinematics, control systems, trajectory tracking, costmaps, LiDAR data, and environment models.
• Experience analysing physical robot behaviour, diagnosing issues with logs, rosbags, and telemetry, and testing software on physical robots.
• Very good knowledge of Linux and Git, with English sufficient for confident work with technical documentation.

Nice to have

• Experience with A*, D*, Dijkstra, RRT, RRT*, TEB, DWA, MPC, MPPI, Behavior Trees, or complete coverage path planning.
• Experience with differential-drive, Ackermann, or four-wheel-steering robots, social navigation, or multi-robot traffic management.
• Knowledge of Open-RMF, VDA 5050, Gazebo, Isaac Sim, Docker, CI/CD, automated testing, or AMR and AGV systems.
• Experience integrating LiDARs, cameras, ToF sensors, and safety sensors or deploying robots in industrial and logistics facilities.

Culture & Benefits

• Influence the behaviour of autonomous robots operating at customer sites.
• Work on the complete navigation system, from mission planning to motion control.
• Access to physical robots, simulation environments, sensors, and dedicated testing infrastructure.
• Work on complex navigation and multi-robot coordination problems in dynamic industrial facilities.
• High degree of independence and direct cooperation with the technical team.
• Full-time employment with compensation aligned with experience and responsibility.