We are partnering with an innovative technology company to hire a Software Engineer focused on advancing the intelligence and autonomy of next-generation robotic systems deployed at scale globally.
This role is ideal for someone passionate about building real-world robotics solutions, combining algorithm development, system integration, and high-performance software to enable autonomous decision-making and navigation.
What You'll Be Doing
- Design and develop intelligent decision-making frameworks to enable robust and adaptive robot behaviour in dynamic environments
- Build and enhance path planning capabilities for efficient navigation across complex, real-world spaces
- Develop motion control strategies to ensure smooth, safe, and reliable robot operations
- Optimize system performance to meet real-time requirements and ensure responsiveness in live environments
- Collaborate closely with cross-functional teams (e.g., mapping, perception) to ensure seamless integration across the autonomy stack
- Develop and execute comprehensive testing strategies across both simulation and real-world environments to ensure system reliability
- Contribute to continuous improvements in system architecture, scalability, and maintainability
- Maintain clear and structured documentation for developed features, systems, and test processes
What We're Looking For
- Degree in Computer Science, Robotics, Engineering, or a related field
- Proven experience developing software for autonomous or robotic systems
- Strong programming skills in C++ and/or Python within a Linux environment
- Hands-on experience with robotics middleware (e.g., ROS)
- Solid understanding of algorithms, data structures, and system-level problem solving
- Knowledge of robotics fundamentals such as kinematics, motion control, and system dynamics
- Experience working on navigation, motion planning, or control systems in real-world or production environments
- Strong debugging and problem-solving skills, with attention to detail
- Experience with advanced planning or optimization techniques in dynamic environments
- Exposure to sensor integration (e.g., LiDAR, vision-based systems, IMU)
- Familiarity with embedded or edge computing platforms
- Interest or experience in machine learning or reinforcement learning for robotics
Those who are keen for the role and would like to discuss the opportunity further, please click Apply Now or email Kin Long at [Confidential Information] with your updated CV.
Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.
Quess Selection & Services Pte Ltd
EA Licence No: 23C2060 | EAP Registration No: R2095054
