Total 10,181 job vacancies in Singapore

Digital Supply Chain Group of the Digital Manufacturing Division at the ARTC is searching for a Senior Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI

Responsibilities:

1.      Deliver tangible outcomes in technical projects: e.g:

-          Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems.

-          Implement state-of-the-art approaches and bring them to industry-readiness status.

2.      Lead technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.  

3.      Continuously develop personal technical skillsets to ensure technical relevance.

4.      Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.

5.      Abide by software development processes and procedures to ensure high quality of deliverables.

6.      Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

·       Good interpersonal and communication (verbal & written) skills.

·       Doctoral degree in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.

·       Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.

·       Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).  

·       Prior experience with supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
·       More than 5 years of experience

·       A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

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.

Job Description:

As a Senior Development Engineer, you will be a key senior resource in a team, actively contributing to and leading the development of robotics software solutions for industrial applications (manufacturing/logistics). You will focus on developing multi-system management and orchestration capabilities for multi-robot and multi-device systems, particularly using the Robotics Middleware Framework (RMF). This role involves leading aspects of project execution, proactive contribution to new capability development, and continuous learning.

Roles and Responsibilities:

• actively contribute to and lead specific areas of research and development for robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
• Contribute significantly to the architecture and lead the development of complex software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
• Contribute to and lead the implementation of robust systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop comprehensive software testing and validation strategies in accordance with industry standards.
• Lead specific aspects of project scoping, planning, and execution for technical projects, and actively contribute to overall project delivery, including overseeing technical documentation, write-ups, and presentations. 

Job Requirements:

• Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.
• Minimum 5 years of experience (or equivalent demonstrated experience).
• Mastery in C++ and Python programming.
• Extensive experience and expertise in software development principles and practices.
• Extensive experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
• Extensive experience with ROS2 and its ecosystem.
• Mastery with Git version control.
• Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Extensive experience with complex software systems integration, including architecture and communication protocols.
• Extensive experience with networked systems design and implementation.
• Experience deploying multiple software or robotics systems to production environments.
• Demonstrated ability to lead technical initiatives or projects within a team context.

Desired Skills & Experience:

• Experience applying or researching mobile robot, fleet management and AI technologies in robotics.
• Proven experience managing stakeholders from requirements gathering to deployment.
• Web development experience (e.g., using common frameworks).
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience developing software solutions using ROS libraries.

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.

ARTC is looking for a Development Engineer to join Autonomous Systems & Robotics (ASR) group to accelerate the development of novel, intelligent, and/or reconfigurable robotic systems that can be adopted by industry.

ABOUT THE ROLE

As a Development Engineer, you will contribute towards developing systems and solutions as part of a larger team, and lead small projects, to meet the needs of different companies across the manufacturing and logistics ecosystem in Singapore. You will work with both senior and junior engineers and scientists at A*STAR on different R&D projects for developing robotics and automation systems.
If you are passionate about applied research and/or the development of AI-driven robotics and automation systems and applying the best-in-class physical AI and/or optimization algorithms to solve practical industry problems, this is the role for you.

JOB DESCRIPTION

• Discuss with stakeholders to get clear understanding of their problem statements, requirements, expectations
• Study new technologies and tools available in the market, evaluate and compare pros and cons, make recommendations; contribute to generative AI-driven robotic and automation system development projects
• Validate new concepts for systems or methods, by using virtual models, simulations and physical prototypes
• Design and develop physical / software modules, programs, and other system components
• Testing and validating the systems / solutions developed by other project team members
• Support seniors to develop detailed technical proposals addressing complex industry challenges, including automation, robotics.
• Contribute to robotics and automation system / software development projects for both competitive grant-funded research as well as for direct industrial problem statements
• Support senior staff in engaging with System Integrators (SI) and vendors to develop and deploy AI-based automation systems in the final operational environment (such as a factory shopfloor or warehouse facility) to meet end-user needs
• Write and maintain technical documentation of the work done in projects, and make presentations

JOB REQUIREMENT

• Bachelor’s Degree in Engineering disciplines (Mechanical, Electrical, Electronics, Computer Engineering)
• 0-2 years of experience in developing AI/ML-based robotics and automation systems / software solutions 
• Fresh graduates with strong hands-on skills and knowledge of Robotics,automation, 3D modeling, AI/ML for physical systems etc. are also welcome
• Experience in software programming (e.g., Python, C / C++ )
• Good experience in developing robot manipulation programs (e.g., ABB RAPID, URScript, KRL) for practical use-cases will be a strong plus
• Experience in 3D Simulation tools (e.g., Visual components, Isaac Sim, Gazebo), or willing to learn simulation tools 
• Hands-on experience with industrial robot arms, cobots for automation systems / solutions development projects.
• Experience or exposure to robotic picking and placement/packing applications
• Able to work hands-on with limited supervision for projects to develop robotics / automation systems 
• Strong problem solving and analysis skills
• Practical knowledge in applying Generative AI, Reinforcement Learning etc. in both simulation and real-life implementations will be a strong plus
• Experience in mechanical design (CAD), systems-level modelling and simulation will be a plus (e.g., Simulink)
• Knowledge of Robot Operating System (ROS / ROS 2), UI/UX development etc. will be a plus

We value the following Soft skills as well:

• Strong communication and interpersonal skills, to interact with different stakeholders at a technical or functional level (with colleagues, management, customers)
• Self-motivated individual with a strong sense of ownership of the assigned tasks
• Team player with good time management skills
• Flexibility & willingness to learn and master new / unfamiliar tools and technologies, work on new tasks, and adapt to changes

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.

Job Description:

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​:

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders.

Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 2 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment

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.

The Digital Supply Chain Group of the  Digital Manufacturing Division at ARTC is searching for a Senior Research Engineer to lead and support engineering projects focused on operations research using advanced analytics, simulations, and optimization.

Responsibilities:

1.      Innovate and Develop New Solutions:

a.   Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges.

b.   Conduct research and feasibility studies to create innovative, scalable, and efficient engineering solutions that meet industry needs.

2.      Lead the Development Process:

a.   Lead end-to-end development of research concepts into functional engineering prototypes, ensuring they are industry-ready.

b.   Collaborate with cross-functional teams to transition research results into tangible, deployable products or solutions.

3.      Apply Advanced Research in Engineering:

a.   Leverage cutting-edge technologies such as simulations (discrete-event & agent-based), network analysis, and optimization techniques to develop solutions.

b.   Implement machine learning and AI technologies into operational processes to enhance decision-making capabilities.

4.      Conduct Performance Testing and Optimization:

a.   Evaluate the performance and scalability of developed solutions through testing and optimization.

b.   Continuously improve prototypes by analyzing performance data and making necessary adjustments.

5.      Collaborate with Industry Partners:

a.   Work closely with industry partners to ensure that developed solutions align with real-world applications and requirements.

b.   Engage with stakeholders to gather feedback and refine research prototypes for successful industry adoption.

Job Requirements:

• Bachelor or Master degree in engineering, Computer Science, Operations Research, or related fields.
• More than 5 years of experience
• Strong foundation in mathematical modelling, algorithm design, and scientific computing.
• Expertise in simulations (discrete-event, agent-based) and optimization techniques.
• Proficiency in programming languages such as Python, C, C++, or MATLAB.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and optimization libraries (e.g., Gurobi, CPLEX).
• Experience in data structures, algorithm development, and software development best practices.
• Prior experience in operational optimization, such as fleet management, scheduling, or network design, is highly preferred.
• Experience applying research in practical settings such as aerospace, logistics, energy, manufacturing, or supply chain management.
• Familiarity with Industry 4.0 technologies such as advanced robotics, automation, or smart manufacturing.

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.

We are looking for a research engineer to support our ongoing initiatives in AI, embodied AI (EAI), robotics, and humanoid systems, with a strong focus on translating research into deployable industrial solutions.

Key Responsibilities

• Support development and testing of AI/EAI algorithms on robotic and humanoid platforms.
• Work with senior researchers and engineers to translate research outputs into practical solutions.
• Support integration and evaluation of algorithms on humanoid or robotic systems.
• Collaborate across teams (engineering, product, platforms) to accelerate prototype-to-deployment cycles.
• Contribute to documentation, prototypes, and demonstration setups.

Requirements

• Bachelor’s or Master’s degree in AI, Robotics, Computer Science, Electrical Engineering, or related fields.
• At least 2 years of experience
• Basic experience in AI/robotics; interest or exposure to embodied intelligence or humanoids preferred.
• Proficiency in programming languages such as Python, C++, or Matlab highly desirable.
• Hands-on experience operating or programming humanoid robots is an added advantage.
• Strong problem‑solving skills and willingness to learn in a fast-paced R&D environment

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.