Software Engineer jobs in Singapore

Research and Prototyping

• Design, develop, test, and deploy robust and efficient software for robotics and perception systems, with a focus on rapid iteration and prototyping.
• Demonstrate prototypes and technical feasibility to internal stakeholders for feedback and alignment.

Participate in the Agile Development Cycle

• Actively contribute to Agile activities such as sprint planning, daily stand-ups, and retrospectives.
• Use tools like Jira to manage tasks, track progress, and ensure alignment with sprint goals.
• Document project details, technical specifications, and process updates on Confluence to maintain transparency and knowledge sharing.
• Collaborate closely with other software teams to translate research concepts into functional prototypes.
• Identify bottlenecks and optimize existing software components for performance and reliability.

Code Integration and Testing

• Ensure seamless integration of software components across different
• Perform rigorous testing and debugging to maintain high software quality and reliability.

• Bachelor’s/Master degree in Computer Science, Software Engineering, or a related field.
• Minimum 5 years of hands-on experience in robotics or computer vision, with a focus on rapid prototyping and implementation.
• Strong proficiency in C++ and/or Python
• Demonstrated experience in developing and implementing algorithms for motion planning, trajectory optimization, or path generation.
• Strong understanding of software architecture, object-oriented programming (OOP), and adherence to SOLID principles.
• Experience in developing and debugging software applications.
• Familiarity with version control systems (e.g., Git) and software development life cycles.
• Experience or familiarity with Agile development practices, with proficiency in tools like Jira for task management and Confluence for documentation.
• Excellent problem-solving skills and a keen eye for detail.
• Ability to work collaboratively in a team-oriented environment.
• Eagerness to learn new technologies and apply them effectively.

• Familiarity with simulation environments (e.g., Gazebo, Isaac Sim).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Experience with CUDA or GPU programming for high-performance computing.
• Experience with advanced mesh processing techniques and libraries (e.g., PCL, Open3D, CGAL) beyond basic familiarity.