Total 2,610 Senior Executive level Engineering job vacancies

Responsibilities:

• In charge of managing and supporting planning and procurement of medical, non-medical equipment, and furniture
• Plan and lead user workgroups by organising regular meeting sessions, setting goals and targets, facilitating useful and productive discussions, guiding user departments, as well as reviewing performance indicators and work plans
• Responsible for budgetary planning and control, ensuring that the development keeps within budget
• Work closely with user department and various stakeholders in the preparation of medical, non-medical equipment and furniture specifications for tenders
  Provide recommendation to users based on technical compliance of medical, non-medical equipment and furniture in tender submissions
• Attach to Group team to familiarise with Group BME policies and procedures through supporting the daily operations to align with organisation and regulatory requirements
• Liaise and manage external contractors on service and tender commitment issues Provide technical advisory to end users and senior management on medical, non-medical equipment and furniture related issues
• Perform any other duties as assigned

Requirements

• Min Diploma in Electronics or relevant Engineering
• Min 5 years of experience in service and maintenance of medical equipment.
• Experience in Healthcare/Hospitals

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

• Location: Woodland
• Working Hours: 5 days per week (Mon to Fri: 8:00 AM – 5:30 PM)
• Willingness to commit to extended hours and night shift when required

Job Description:

• Manage process-related scope for semiconductor construction projects, including cleanroom, process piping, specialty gas, and chemical systems
• Coordinate with design teams, vendors, and site teams to ensure process requirements are clearly defined and properly executed
• Review and verify process drawings (P&IDs, layouts, isometrics) to ensure compliance with project specifications, standards, and site conditions
• Lead and supervise installation, testing, and commissioning of process systems
• Monitor site progress and ensure works are carried out in accordance with schedule, quality, and safety requirements
• Coordinate closely with other disciplines (MEP, cleanroom, equipment) to ensure proper system integration and interface management
• Liaise with clients, consultants, and subcontractors on technical matters, resolving issues and ensuring alignment
• Identify technical and site issues proactively and implement practical, timely solutions
• Prepare and review reports, method statements, and technical documentation for project execution and tracking
• Ensure full compliance with safety standards, cleanroom protocols, and regulatory requirements
• Provide guidance and support to junior engineers and site teams where required
• Any other duties as assigned by the Project Manager or Process Manager
• Any other ad-hoc duties as assigned.

Requirements:

• Bachelor’s Degree in Chemical Engineering, Mechanical Engineering, or related discipline
• Minimum 5 years of relevant experience in semiconductor, cleanroom, or industrial construction projects
• Strong knowledge of process systems such as UPW, PCW, CDA, specialty gas, and chemical distribution systems
• Experience in site coordination, installation, and commissioning is preferred
• Ability to read and interpret engineering drawings and technical specifications
• Good coordination, communication, and problem-solving skills
• Ability to work in a fast-paced project environment and manage multiple priorities
• Able to work independently and communicate effectively with multiple stakeholders
• The candidate must be fluent in both Mandarin and English to communicate effectively with internal teams and external stakeholders

Job Responsibilities

• To support the construction team for M&E engineering works.
• Planning/scheduling and coordination of M&E works.
• Project coordination, supervision, and monitoring of the progress of site work.
• Coordinate M&E engineering work and work closely with other department staff to resolve site discrepancies and technical issues.
• Oversee and ensure works are carried out in accordance with the approved drawings, materials and method statements.
• Ensure quality work in order to achieve CONQUAS and/or QM requirements.
• Liaise with clients, consultants, relevant authorities, and sub-contractors on M&E issues.
• Handle any other ad-hoc duties and tasks assigned.

Requirements

• Degree in Mechanical & Electrical Engineering or related fields. PE Board recognized degree is preferred.
• Minimum 8 years of relevant experience in the construction industry for senior role.
• Proficient in Autodesk Revit or BIM software.

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’s or Master’s degree in Engineering, Computer Science, Operations Research, or related fields.
·       More than 5 years of experience

·       Strong foundation in mathematical modeling, 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.

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 Responsibilities:

• Perform Lead Engineer’s role for rotating equipment/packages on offshore projects.
• Responsible for the design and selection of specialty rotating equipment on EPC projects like process gas compressors, gas turbines, sea water injection, pumps, etc., through various engineering work phases (i.e., feasibility studies, conceptual design, FEED studies, and detailed engineering for offshore, FPSO, and LNG projects).
• Responsible for the selection of specialty rotating equipment on EPC projects like process gas compressors, gas turbines, sea water injection pumps, etc., in compliance with international API codes and client specification requirements.
• Responsible for preparing technical specifications and data sheets for specialty rotating equipment and packages, such as gas turbine generators, centrifugal compressors, screw compressor packages, sea water injection pumps, reciprocating compressors, etc.
• Responsible for the complete requisitioning of specialty rotating equipment and packages.
• Coordinates work with inter-disciplines, clients, and suppliers.
• Responsible for the technical evaluation of bids; prepares technical bid tabulation reports by interacting with suppliers, clients, and inter-disciplines.
• Participates in HAZID, HAZOP, and model review studies for packages; coordinates and closes out mechanical-related issues.
• Performs vendor document and design reviews for specialty rotating equipment and packages.

Job Requirements:

• Degree in Mechanical Engineering.
• Minimum 15 years of offshore project experience (Wellhead, fixed platforms, and FPSO) is preferred.
• Possess relevant experience working on EPC projects with reputed international clients, with a minimum of two offshore projects as Lead Engineer.
• Well conversant with international industry codes such as ASME, API, etc.
• Should possess coordination and good oral and written communication skills.
• Familiarity with NORSOK requirements and U.K. standards and regulations will be an added advantage, especially since the FPSO will operate in U.K. waters and must conform to certification requirements.

DUTIES & RESPONSIBILITIES:

1. Develop and monitor project schedules as per completion dates simulated in contract.

2. Prepare and update baseline programme, 6 months look ahead programme, 3months and 4 weeks rolling programme.

3. Prepare monthly progress report with Progress S-curve.

4. Coordinate with internal QS and engineers for site progress update and claims.

5. Coordinate with client’s planner on programme and progress matters.

6. Proficient in Primavera P6 and Microsoft Excel.

7. Basic technical expertise and knowledge on Air Conditioning and Mechanical Ventilation works.

Responsibilities:

• Lead the power team providing support to vessels during shipyard operations.
• Lead and manage engineering projects related to facility systems including HVAC, electrical, plumbing, and structural components, ensuring timely and quality delivery.
• Conduct regular inspections and condition assessments of facility infrastructure to identify issues and recommend corrective actions.
• Develop and implement preventive maintenance plans to reduce downtime and extend asset life cycles.
• Coordinate with multidisciplinary teams including contractors, vendors, and internal stakeholders to ensure seamless project execution and facility operations.
• Ensure compliance with all relevant health, safety, environmental, and regulatory requirements in all facility engineering activities.
• Prepare technical reports, documentation, and budgets associated with facility engineering projects and maintenance activities.
• Provide technical support and mentorship to junior engineering staff within the Facilities team.
• Drive initiatives to enhance energy efficiency and sustainability practices across Benoi facilities.

Requirements:

• Bachelor's degree in Engineering (Mechanical, Electrical, Civil, or related discipline) or equivalent experience.
• Proven experience in facilities engineering, preferably within maritime, industrial, or infrastructure sectors.
• Demonstrated ability to manage multiple projects with strong organizational and time-management skills.
• Knowledge of relevant safety, environmental, and regulatory standards applicable to facilities engineering.
• Strong interpersonal skills for effective collaboration with diverse teams and stakeholders.
• Proficiency with engineering software and tools for design, maintenance planning, and project management is advantageous.
• Experience with power supply, energy storage and HVAC/Chiller

Other Information

•  Location: Benoi Road (Island-wide transport provided)
• 5 days work week
• Working Hours: 7.25am-5pm

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.

About the Role

We are seeking a Senior Test Engineer to join a dynamic engineering team, supporting product development and validation activities within a regulated environment. This role plays a critical part in ensuring product quality, compliance, and performance through robust testing strategies across the full product lifecycle.

Key Responsibilities

• Develop and execute test plans, protocols, and reports for design verification, validation, and process characterization
• Design and implement automated and manual testing (functional, performance, regression)
• Drive Design Verification & Validation (DV&V) activities in compliance with regulatory standards (e.g. IEC, FDA, GMP, ISO)
• Define and consolidate product requirements from functional, performance, and regulatory perspectives
• Conduct benchmark testing to evaluate product competitiveness and quality
• Develop, validate, and optimize test equipment, fixtures, and methodologies
• Collaborate with cross-functional teams (R&D, Quality, Manufacturing) on feasibility testing and product development
• Liaise with external test laboratories and vendors to support testing activities and data collection
• Participate in risk management and failure analysis activities (e.g. FMEA)
• Identify, document, and track defects using appropriate issue tracking systems
• Communicate risks and findings clearly to stakeholders and management
• Prepare and present comprehensive test reports to project teams

Business Edge Personnel Services Singapore 

EA License No: 96C4864 

EA Personnel Reg No: R26159908 (Tan Ying Ying)

We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage.

Roles & Responsibilities

• Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
• Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
• Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Job Requirements

• Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong foundation in robotics, AI, or control systems.
• Experience or knowledge in one or more of the following areas: 2 years of experience
• Embodied AI and robot learning
• Safety-aware motion planning and control
• Proximity sensing and dynamic obstacle avoidance
• Multimodal perception
• Proficiency in programming languages such as Python, C++, or Matlab
• Experience in software development, including version control and debugging techniques
• Experience in industrial or manufacturing robotics environments.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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 Responsibilities:

• Carry out Design Safety Philosophy, HSE Plan, and specifications for fire protection systems (active and passive), HFE, etc.
• Participate in Process Hazard reviews and analysis, including HAZOP/HAZID/SIL studies, and be responsible for actions close-out.
• Lead the HAZOP/HAZID/SIL workshops and other Safety/HFE workshops (e, g., SIMOPS, ALARP, SCTA, VCA. etc).
• Responsible for reviewing third party safety studies, including FERA, dispersion analysis, EERA, ESSA, dropped objects study, QRA studies, etc. (not limited to).
• Carry out similar safety studies independently, as required.
• Carry out independent design of active and passive fire protection systems and prepare Hazardous/H2S area classification documentation, safety and fire fighting layouts, escape route and life-saving equipment layouts, and other safety drawings.
• Carry out/lead safety critical elements performance standards, RAM, fire and gas detection mapping, etc., based on project requirements.
• Act as Package Engineer for safety and firefighting, lifesaving equipment.
• Manage and guide safety team engineers and designers on Concept/FEED/Detailed Engineering projects.
• Provide health and environmental inputs (including health risk assessments such as chemical exposure, noise and lighting, ergonomics/Human Factors Engineering, environmental impact assessments, etc.) to projects.
• Interface/coordinate with other Engineering disciplines and clients and take the lead in resolving technical matters related to safety aspects.
• Able to deliver project safety deliverables as per project schedule.
• Provide inputs and support to projects in all safety aspects, including progress reports.

Job Requirements:

• Bachelor's Degree in Chemical Engineering or equivalent from an accredited university.
• Minimum of 15 years of HSE engineering experience in the Oil and Gas industry, in process safety/technical safety, and has worked a minimum of 4-5 years in a Lead position on similar projects.
• Involved in design projects for offshore (FPSO/Platforms) and onshore (Refineries, LNG facilities, Storage terminals, etc.).
• Should have worked on a minimum number of offshore projects (FPSO/Platforms).
• Possess good knowledge of Oil and Gas process facilities, local and international process safety codes and standards, and regulatory/marine codes and standards (MODU, SOLAS, DNV/Lloyds Register).
• Should have hands-on experience in plot plan review, HAZID, HAZOP, SIL classification/verification, and other safety reviews (e.g., SIMOPS, ALARP).
• Good working knowledge of PIPENET Vision, Flaresim, and other consequence modeling software such as DNV PHAST, etc., is needed.
• Ability to influence designs to achieve optimal HSE outcomes.
• A team player with leadership potential and proactive inter-discipline communication skills.

Responsibilities

• Manage & Lead the electrical team.
• Perform engineering duties such as design, engineering calculations, planning, tender. Preparation/evaluations as part of the engineering project team.
• Team development.
• QA/QC documentation review of engineering deliverables.
• Liaison with clients, project managers, architects, contractors.
• Resolve any technical problems faced during project design and/or construction stages.
• Any other required duties as required by the Project Team.
• Suggests ways to increase revenues and efficiency.
• Testing & Commissioning of the ACMV Electrical Systems.
• Power Turn On.
• Ensure the team follows all electrical codes and standards.

Minimum Qualifications/ Experience

• Any qualification in a relevant engineering field with minimum 5 years of related working experience in the Construction Electrical Field asscoiated with ACMV / Electrical.
• Engineering design of commercial buildings, major infrastructure transportation projects and mixed-use developments.
• Possess design experience and good understanding of ACMV / Electrical technical systems and procedures:
• Possess knowledge on all cabling, loading and sizing calculations and equipment selections such as cable, generators, panels, etc.
• Develop, design through establishing, design briefs, design reports, calculations, schematics, schedules, specifications.
• Developing Concept, Preliminary, Detailed and Construction Engineering Designs.
• Productions of drawings and developing models.
• Site Experience.
• Testing & Commissioning Experience.
• Having experience working with Infrastructure Projects would be an added advantage.
• Experience in ELV systems will be an added advantage.

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.