Robotics Software Engineer

About the Company

Our client is a leading warehouse automation robotics company transforming the logistics and fulfillment industry through advanced robotic solutions. Their autonomous mobile systems streamline material handling, improve efficiency, and help global customers scale operations with intelligent, flexible automation.

Position Overview

We are seeking a Robotics Software Engineer with expertise in simulation, localization, and navigation systems to help design, implement, and optimize software that powers fleets of autonomous warehouse robots. You’ll work closely with cross-functional teams including controls, perception, and systems engineers to ensure safe, efficient, and intelligent robot operation in dynamic warehouse environments.

Key Responsibilities

Design and develop simulation frameworks for testing robot navigation, sensor fusion, and path planning algorithms in virtual warehouse environments.

Implement and optimize robot navigation, localization, and mapping software (SLAM, AMCL, or equivalent).

Integrate and test software modules for real-time robotic behavior, collision avoidance, and multi-robot coordination.

Develop tools for system visualization, debugging, and performance analysis within simulated and real-world deployments.

Collaborate with hardware, perception, and software engineering teams to ensure seamless integration of navigation components.

Participate in code reviews, system architecture design, and algorithm performance evaluation.

Support deployment and troubleshooting in production environments.

Qualifications

Required :

Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical / Mechanical Engineering, or a related field.

3+ years of experience in robotics software development (C++ and Python).

Hands-on experience with ROS / ROS2, Gazebo, Ignition, or other robotics simulation environments.

Strong background in robot motion planning, localization, and navigation algorithms.

Familiarity with sensor data processing (LIDAR, camera, IMU) and sensor fusion techniques.

Experience with Linux-based development, version control (Git), and continuous integration workflows.

Preferred :

Experience deploying software to autonomous mobile robots (AMRs) or warehouse automation systems.

Knowledge of multi-robot coordination, path optimization, or fleet management systems.

Familiarity with machine learning techniques for robotics applications.

Exposure to Docker, Kubernetes, or cloud robotics platforms.