(Senior) Development Engineer, Sustainable System and Devices, ARTC

About the role

We are seeking passionate engineers to join our R&D team, focused on AI-driven and knowledge-based applications. The role focuses on developing and translating AI models and algorithms to enhance intelligence for robotic/ automation systems, integrating perception, planning, and control modules into a cohesive system.

You will work closely with a multidisciplinary team of engineers and researchers to develop advanced robotic/ automation solutions that combine machine learning, computer vision, and control systems to achieve autonomous and intelligent automation.

Roles and responsibilities

Conduct research and develop AI methods for information extraction across diverse data types, including video, image, and text

Contribute to the design and implementation of knowledge-based applications, such as graph database systems and related software tools

Translate and optimise intelligent algorithms into robotic/ automation platforms to enhance intelligence- adaptive control and task execution

Develop and maintain the AI-robot interface, ensuring robust communication between software intelligence and physical systems

Support prototype development, testing, and validation of robotic/ automation solutions in lab and production environments

Prepare technical documentation, reports, and presentations for internal and external stakeholders

Participate in system deployment, commissioning, and field validation of AI-automation systems

Job Requirements

Strong foundation in AI/ML algorithms and computer vision techniques such as object detection and action recognition, applied to automation in perception, decision-making, and motion planning.

Fundamental understanding of software engineering practices, including Git/version control and modular code development

Familiarity with deep learning architecture (e.g. CNNs, Transformers) and knowledge graph technologies (e.g., Neo4j, RDF, or graph databases) will be an advantage

Proficient in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn

Basic understanding of automation systems and mechanical design principles

Proficiency in one or more of the following areas:

Robotic manipulation and motion planning (industrial or collaborative robots)

C++, or ROS (Robot Operating System)

Reinforcement learning or intelligent control

Path planning and trajectory optimization

AI model optimization and deployment for real-time systems

Desirable Skills (Preferred but not required):

Hands-on experience with robot platforms (e.g., UR, ABB, KUKA, FANUC) or robotic simulation tools (e.g., Gazebo, Isaac Sim, V-REP).

Experience developing or deploying AI models on robotic/ automation platforms

Familiarity with industrial automation, disassembly, or intelligent manufacturing systems

Qualifications

Bachelor's or Master's degree in AI, Mechatronics, Robotics, Computer Engineering, or a related field.

Relevant experience, ideally in manufacturing industry or functions, is preferred.

At least 2 years of experience

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.