Job Description

Job Summary

Own the robotics software middleware layer on ARM-based edge compute platforms — ROS 2 system design, autonomous navigation stacks, and multi-sensor fusion for mobile robots and autonomous machines.

Key Responsibilities

• Architect and implement ROS 2 based systems — node design, lifecycle nodes, executors, DDS configuration, QoS profiles and inter-process transport optimization.
• Integrate and tune navigation stacks: mapping/SLAM, localization, global and local planning, costmaps, recovery behaviours and controller tuning.
• Implement multi-sensor fusion across cameras, depth sensors, LiDAR, IMU, wheel odometry and GNSS, including calibration and time synchronization.
• Optimize robotics workloads for embedded SoCs — CPU/GPU/NPU offload, zero-copy transport, deterministic timing and resource budgeting.
• Integrate perception and AI inference outputs into the navigation and decision layer.
• Build simulation, replay and bag-based test workflows to reproduce and debug field behaviour.
• Define safety-relevant behaviours — emergency stop paths, watchdogs, fail-safe states and degraded operation.
• Debug robot-level issues spanning middleware, drivers and hardware; mentor engineers on ROS 2 best practice.

Skill Requirements

• 8–10 years in robotics or autonomous systems software, with 4+ years on ROS/ROS 2 in productized systems.
• Strong C++ (14/17) and Python.
• Deep ROS 2 knowledge — DDS/RMW behaviour, QoS tuning, composition, TF2, launch and parameter systems.
• Navigation stack experience — SLAM, AMCL or equivalent localization, path planning and control.
• Sensor fusion and state estimation — Kalman/EKF/UKF or factor-graph approaches; extrinsic/intrinsic calibration.
• Running ROS 2 on resource-constrained embedded Linux targets, not just workstations.
• Real robot bring-up and field debugging experience.

Other Requirements

• Nav2, MoveIt, Cartographer, RTAB-Map or similar stack customization.
• Real-time ROS 2, micro-ROS or DDS tuning for determinism.
• Gazebo, Isaac Sim or other simulation-based development and CI.
• GPU/NPU accelerated perception integration.

Robotics safety standards exposure (ISO 3691-4, ISO 13849).