Total 435 Information Technology job vacancies in Tuas

Key Responsibilities

• Oversee daily administrative operations and ensure efficient office management

• Supervise and lead administrative staff to maintain high performance standards

• Manage office budgets, procurement processes, and vendor relationships

• Coordinate logistics activities, including shipment tracking and supplier liaison

• Prepare and review business correspondence such as reports, emails, and official letters

• Maintain proper documentation, records, and compliance with company policies

• Support and administer HR processes and policies, including:

- Employee onboarding and offboarding

- Leave management and attendance tracking

- Maintaining employee records and documentation

- Assisting in policy implementation and compliance

• Support cross-functional teams, including project and operations departments

Requirements

Educational Qualifications

• Diploma in Business Administration & Management or equivalent

• Bachelor’s degree in business administration, Management, or a related field

• Relevant certifications are an advantage

Work Experience

• Minimum 1–3 years of experience in administration or office management

• Proven experience in team supervision and office operations

• Experience in procurement, vendor management, logistics coordination, and HR administration preferred

Core Skills

• Strong organizational and multitasking abilities

• Excellent communication skills, both written and verbal

• Proficiency in business letter-writing and formal correspondence

• Leadership, problem-solving, and decision-making capabilities

• High attention to detail and accuracy

Technical Competencies

• Proficient in Microsoft Office (Excel, Word, etc.)

• Familiarity with ERP or administrative systems

• Basic knowledge of reporting and data management tools

Knowledge Requirements

• Solid understanding of office administration practices

• Basic financial knowledge (budgeting and cost control)

• Strong understanding of HR processes and policies

• Knowledge of logistics operations, including:

- Supply chain and procurement processes

- Supplier and freight forwarder coordination

- Shipping documentation (invoices, packing lists, delivery orders)

- Shipment tracking and delivery coordination

• Awareness of compliance and regulatory requirements

Personal Attributes

• Responsible, proactive, and resourceful

• Strong interpersonal and leadership qualities

• Ability to work under pressure and meet deadlines

JOB DESCRIPTION

ARTC is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to process control and automation design, leveraging on data informed AI decision making with process automation. 

The following areas will be included and mentored by scientists and senior staff:

• To develop and maintain automation architecture, including control loops, instrumentation, hardware, and communication networks.
• To design tooling and fixtures for automation of processing setups using CAD software.
• To perform system integration between sensors, actuators, and controllers.
• To conduct processing trials and experimental analysis to ensure process stability.  
• To conduct troubleshoot and resolve control system issues to minimize downtime and improve system reliability.
• To coordinate with vendors, system integrators and customers for support deployment of systems.

JOB REQUIREMENT

• Bachelor’s degree in mechanical, Manufacturing or Electrical Engineering
• At least 3 years of experience
• Experiences in R&D or industrial manufacturing environment
• Experiences with design software such as AutoCAD and SolidWorks will be a plus
• Experiences with welding, WAAM, or other manufacturing processes will be a plus
• Experiences with coding for control and automation and knowledge on AI libraries and tool for data processing 
• Understands design process control, system integration, automation, PLC control, machine to machine communication, and signal processing
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams
• Able to critically think of solutions outside the box and communicate effectively

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.

• . Key responsibilities include installing hardware/software, troubleshooting technical issues, managing user accounts/permissions, performing backups, and implementing security measures like firewalls
•  Installing, upgrading, and configuring servers, software, and hardware.
•  Creating, updating, and removing user accounts, as well as managing permissions and security access (e.g., Active Directory).
•  Providing technical support to staff, diagnosing, and repairing network/system errors.
•  Ensuring system efficiency by monitoring CPU usage, memory, and network activity.
•  Maintaining detailed records of network configurations, procedures, and troubleshooting steps. 
• Update daily warehouse operation to operations manager

Manage goods efficiently across warehousing, fulfilment, and distribution with our supply chain logistics management software.

JOB DESCRIPTION

ARTC is looking for a motivated, innovative quick learner with excellent interpersonal skills to join the Remanufacturing Process Technology Group (RPT) - Intelligent Remanufacturing Process Team.  The successful candidate will have opportunities to participate in research and industry projects related to process control and automation design, leveraging on data informed AI decision making with process automation. 

The following areas will be included and mentored by scientists and senior staff:

• To develop and maintain automation architecture, including control loops, instrumentation, hardware, and communication networks.
• To design tooling and fixtures for automation of processing setups using CAD software.
• To perform system integration between sensors, actuators, and controllers.
• To conduct processing trials and experimental analysis to ensure process stability.  
• To conduct troubleshoot and resolve control system issues to minimize downtime and improve system reliability.
• To coordinate with vendors, system integrators and customers for support deployment of systems.

JOB REQUIREMENT

• Bachelor’s degree in mechanical, Manufacturing or Electrical Engineering
• At least 1 year of experience
• Experiences in R&D or industrial manufacturing environment
• Experiences with design software such as AutoCAD and SolidWorks will be a plus
• Experiences with welding, WAAM, or other manufacturing processes will be a plus
• Experiences with coding for control and automation and knowledge on AI libraries and tool for data processing 
• Understands design process control, system integration, automation, PLC control, machine to machine communication, and signal processing
• Ability to work effectively and independently in a dynamic environment with cross-functional project teams
• Able to critically think of solutions outside the box and communicate effectively

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 Responsibilities

• Network Configuration and Management: Configuring and managing network devices such as routers, switches, firewalls, load balancers, and VPNs.
• Advanced Troubleshooting: Diagnosing and resolving complex network issues, including performance bottlenecks and connectivity problems.
• Network Maintenance: Performing regular maintenance tasks, including applying patches, updates, and security configurations to ensure network reliability and security.
• Performance Monitoring: Monitoring network performance to ensure system availability and reliability, using advanced monitoring tools.
• Documentation: Keeping detailed records of network configurations, changes, and support activities.
• User Support: Providing support to end-users and other IT teams for network-related issues.
• Operational Hours: Provide 7 days shift hours technical assistance
• Escalation: Attend to escalation from Level 1.5,
• Provide after-hours technical assistance to Data Centre (eg. handle customer visits, reboot server, DDOS issues, etc)
• Perform after office hour schedule standby

Job Requirements :

• Degree/Diploma or equivalent with NOC experience
• Minimum 2years experience in a support/service environment with a keen interest in Internet Technology
• Preferably with CCNA certification or other network certifications
• Customer oriented, motivated and driven to explore new ways of doing things
• Team worker with good interpersonal, communication and writing skills
• Able to work within constraints and meet service levels
• Willing to accept new challenges and responsibilities
• Highly motivated with initiative
• Willing to work on rotating shift, inclusive of weekends and public holidays
• Customer focused attitude with ability to explain technical information to non-technical people with compassion
• Outstanding communication skills in English, both written and verbal

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 of 0-5+ 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.

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.

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 5 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.

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 5 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.

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.

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 of 5 years of experience (or equivalent demonstrated experience).

Essential Skills & 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.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are looking for a Research Assistant to support an AI-enabled battery recycling research project that advances sustainable energy and circular economy goals. The role will focus on developing data-driven models and decision tools to improve the efficiency, yield, and cost effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling operations can be more reliable, scalable, and environmentally responsible.

Key Responsibilities:

• Conduct literature review and problem scoping on battery recycling, including process routes such as hydrometallurgy, pyrometallurgy, and direct recycling.

• Build datasets from experiments, sensors, and public sources, and then perform data cleaning, labeling, and feature engineering for battery recycling tasks.

• Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions.

• Develop optimization and control methods for recycling resource management, such as reagent usage, temperature profiles, scheduling, and throughput, under safety and quality constraints.

• Support experimental coordination and analysis, including interpretation of characterization and assay results (as applicable), and then translate findings into model inputs and evaluation.

• Prepare technical reports, documentation, and research manuscripts, and also contribute to project presentations and meeting updates.

• Collaborate with the PI and team members, and coordinate with external partners when needed, to ensure milestones and deliverables are met.

Job Requirements:

• Bachelor qualification degree in Computer Science, Electrical Engineering, or related disciplines

• Strong research experience with a good track record of publications.

• Familiarity with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization.

• Good written and oral communication skills for preparing technical reports, presentations, and draft manuscripts.

• Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation.

• Competent in soft skills, such as problem scoping and analytical skills for experimental results interpretation.

• Interpersonal skill, such as good teamwork and collaboration skills to work closely with the PI, team members, and external partners.

• Entry level candidates are welcome to apply.

We regret to inform that only shortlisted candidates will be notified.

Job Summary

Design, develop, and maintain software for semiconductor equipment, focusing on motion control, data acquisition, and process automation. Collaborate with cross-functional teams to integrate software with mechanical and electronic components and optimize real-time embedded systems.

Responsibilities

• Design, develop, and maintain software for semiconductor equipment to support motion control, data acquisition, and process automation
• Collaborate with hardware and mechanical engineers to integrate software with precision mechanical and electronic components
• Develop and optimize real-time and embedded systems software for high-speed, high-precision applications
• Implement machine learning, computer vision, or AI algorithms where applicable to enhance automation capabilities
• Conduct software testing, debugging, and performance tuning to ensure system reliability and efficiency
• Ensure compliance with industry standards, cybersecurity protocols, and data integrity requirements
• Maintain accurate technical documentation and provide support to internal teams
• Contribute to continuous improvement initiatives focused on scalability, maintainability, and adherence to Singapore’s safety, quality, and regulatory standards

Required competencies and certifications

• Bachelor’s degree in Computer Science, Software Engineering, Mechanical Engineering, or related field
• Experience in software development preferably within manufacturing, logistics, or related industry
• Proficiency in C++ and multi-threading for embedded systems, automation, or UI/UX development
• Knowledge of data analytics, artificial intelligence/machine learning (AI/ML), or computer vision for automation

Key Responsibilities：

1. Strategic Technical Leadership

· Process Design & Scale-up: Lead the design and execution of scale-up strategies for diverse dosage forms (e.g., solid orals, sterile injectables, nasal spray or topicals) using Quality by Design (QbD) principles.

· Tech Transfer Ownership: Serve as the primary technical point of contact for clients, ensuring the seamless transfer of "Sending Unit" (Client) processes to the "Receiving Unit" (CDMO).

· Troubleshooting: Act as the ultimate Subject Matter Expert (SME) for complex formulation challenges, deviations, and "out of specification" (OOS) investigations during the transfer phase.

2. Operational Excellence

· Facility Fit & Gap Analysis: Conduct technical assessments of incoming client processes against existing site equipment and capabilities; identify and procure necessary capital equipment.

· Documentation Oversight: Review and approve Tech Transfer Protocols, Master Batch Records (MBRs), Process Validation protocols, and Technical Transfer Reports.

· Regulatory Support: Author and review technical sections of regulatory filings (e.g., IND, NDA, BLA, ANDA) and represent the technical team during PAI (Pre-Approval Inspections).

3. Client & Project Management

· Stakeholder Liaison: Work closely with Business Development to evaluate new RFPs (Requests for Proposals) and provide technical man-hour and resource estimates.

· Timeline Management: Ensure tech transfer milestones (Engineering batches, Clinical supply, PPQ) are met to support client clinical or launch timelines.---

Qualifications & Skills

Education

· Required: Ph.D. or Master’s degree in Pharmaceutical Sciences, Chemical Engineering, Chemistry, or a related field.

Experience

· Industry: 10+ years in pharmaceutical development/manufacturing, with at least 5 years specifically in a CDMO environment.

· Leadership: 5+ years of experience managing high-performing technical teams.

· Technical: Proven track record of successful tech transfers and at least 2–3 successful commercial product launches.

Technical Proficiencies

· Deep understanding of cGMP, ICH guidelines (Q8, Q9, Q10, Q11), and global regulatory requirements (FDA, EMA, NMPA).

· Expertise in statistical tools for process monitoring (e.g., JMP, Minitab).

· Experience with Risk Assessment tools (FMEA) to identify and mitigate process risks.

To apply:

Candidates are encouraged to apply this position via email to Phghr@pharmagend.com with the following information in the resume.

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

We regret that only shortlisted candidates will be contacted.

Job Summary:
We are seeking a dedicated Systems Engineer to oversee the maintenance, setup, and integration of enterprise systems, with a focus on server infrastructure, network configuration, and system automation. This role does not require extensive coding but involves close collaboration with application and infrastructure teams to ensure secure, stable, and compliant system environments. Candidates should possess a solid understanding of regulatory frameworks such as PDPA and MAS TRM, as we support financial institutions and government agencies.

Key Responsibilities:

• Server & System Maintenance
  Maintain and manage server infrastructure (Windows/UNIX/Linux), including routine patching, system health checks, and updates to ensure availability, security, and performance.

• System Setup & Configuration
  Install, configure, test, and commission systems including OS, middleware, and core application components, ensuring compatibility with project-specific requirements.

• Network & Infrastructure Deployment
  Design and deploy network and system infrastructure (e.g., switches, firewalls, virtual environments). Coordinate with vendors or partners to implement and validate configurations based on approved architecture.

• Testing & Validation Support
  Support SIT, UAT, SAT, and training environments. Perform system reliability, load, and performance testing, troubleshooting issues across hardware, application, and network layers.

• Cross-Functional Collaboration
  Work with internal teams (e.g., Mechanical, Application Integration) and external vendors to validate and refine workflows and system performance.

• Documentation & Compliance
  Develop and maintain accurate technical documentation, including setup guides, configuration standards, and integration manuals. Ensure adherence to PDPA, MAS TRM, and cybersecurity best practices.

• Automation & Scripting Support
  Contribute to operational efficiency by supporting automation efforts using scripting languages (e.g., Shell, Python) for monitoring, deployment, or auto-start services.

• Virtualization & Orchestration
  Assist in the deployment and administration of virtualized environments (e.g., VMware, Hyper-V, Nutanix) and containerized platforms (e.g., Docker, Kubernetes).

• Innovation & Special Projects
  Support Proof of Concepts (PoCs), hardware/software evaluations, and pilot deployments for new initiatives or technology adoption.

• Ad Hoc Duties
  Undertake additional system-related tasks and responsibilities as assigned by management.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.

• 3–5 years of relevant experience in system maintenance, infrastructure setup, and integration.

• Strong hands-on experience with server and network infrastructure, including working with partners for deployment.

• Working knowledge of Windows and UNIX/Linux environments, and application stack tuning (e.g., Apache, Tomcat, JBoss).

• Experience with virtualization and hyper-converged platforms (e.g., VMware, Hyper-V, Nutanix, vSAN).

• Familiarity with containerization technologies such as Docker and Kubernetes.

• Understanding of TCP/IP, HTTPS, SFTP, and REST APIs.

• Knowledge of cybersecurity best practices and system hardening.

• Basic scripting capability in Python, Shell, or equivalent for automation tasks.

• Awareness of regulatory frameworks including PDPA, MAS TRM, and relevant government standards.

• Experience in public sector or financial industry deployments is an advantage.

• Independent and team-oriented, with good problem-solving skills and attention to detail.

• Strong communication skills in English (verbal and written).

• Willingness to travel for on-site support or overseas deployment if required.