Total 13,198 job vacancies in Singapore

Job Title: Failure Analysis Engineer

Minimum Years of Experience: Nil

Gross Salary Range: $ 3,000.00 - $4,500.00 Monthly

Qualifications: Bachelor, fresh graduate welcome, preferred with surface analysis experience (such as TOF-SIMS,  FTIR, AFM, XPS, AES, etc.).

Job Description:

•             Being able to operate analytical instruments in lab environment and conduct analysis for various customers independently;

•             Being able to prepare samples in needs and ensure the quality of the work and trouble-shoot the causes when problem occurs;

•             Being able to write analytical reports;

•             Being able to work in afternoon/evening shift or night shift if required;

•             Document new failure analysis operating procedures, training and certification specs;

•             Communicate with customer for selecting proper analytical techniques and data interpretation;

•             Participate in ISO17025 in maintaining the system

Job Requirements:

•             Bachelor or above in Material Science, Physics, analytical Chemistry or related science. Surface analysis experience (such as TOF-SIMS, FTIR, AFM, XPS, etc.) is preferred;

•             Being able to work afternoon/evening shift or night shift if required

•             Hands-on sample preparation experience for various analysis;

•             Team player with strong work ethic and able to thrive independently as well; strong problem-solving skills;

•             Strong language and reporting skills;

We are looking for motivated and aspiring Cloud Engineers who are passionate about cloud technologies and eager to start their careers in cloud infrastructure. This role is open to fresh graduates or candidates with up to 2 years of experience who are keen to learn and grow in a fast-paced technical environment.

You will have the opportunity to work with modern cloud platforms while gaining hands-on exposure to infrastructure deployment, cloud operations, and DevOps practices.

Key Responsibilities

1. Support the design, deployment, and management of cloud infrastructure across platforms such as AWS, Microsoft Azure, or Google Cloud Platform.

2. Assist in cloud migration, deployment, and infrastructure improvement projects.

3. Help provision and manage cloud resources using Infrastructure as Code (IaC) tools where applicable.

4. Monitor cloud systems to ensure availability, performance, and reliability.

5. Support routine maintenance tasks such as system patching, backup monitoring, and documentation updates.

6. Assist in configuring virtual networks, VPNs, firewalls, and cloud security settings.

7. Work with DevOps and development teams to support CI/CD pipelines and containerized applications.

8. Troubleshoot basic cloud infrastructure and network-related issues.

9. Prepare and maintain technical documentation, system diagrams, and operational reports.

Job Requirements

1. Open to fresh graduates or candidates with up to 2 years of experience.

2. Degree or Diploma in Computer Science, Information Technology, Cloud Computing, or related fields.

3. Basic knowledge of at least one cloud platform such as AWS, Microsoft Azure, or Google Cloud Platform.

4. Familiarity with cloud concepts, virtualization, or infrastructure fundamentals is an advantage.

5. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation, ARM) is a plus but not mandatory.

6. Basic understanding of container technologies such as Docker or Kubernetes is beneficial.

7. Knowledge of networking fundamentals such as IP addressing, VPC, VPN, firewalls, and load balancing is preferred.

8. Strong analytical thinking and willingness to learn new technologies.

9. Good communication skills and the ability to work both independently and within a team.

Preferred (Nice to Have)

• Cloud certifications such as AWS Certified Cloud Practitioner, Azure Fundamentals, or Google Associate Cloud Engineer.

• Academic or project exposure to cloud infrastructure, DevOps, or automation

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to chally@talentsis.com.sg for immediate processing.

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.

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: 5 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.

Design Engineer (Civil & Structural) - LTA Project

• Industry: A1 Main Contractor - Korean MNC
• Office is near Jurong East MRT, Singapore
• Site is at Jurong East MRT
• 5.5 Days 8am-6pm / 8am-12pm
• Salary: $3,500 - $6,000 + Bonus

Summary

We are seeking an experienced Design Engineer (Civil & Structural) to support major LTA MRT projects, work closely with the Design Manager and project teams to ensure timely, accurate, and compliant design throughout the project lifecycle.

Requirements

• Degree in Civil Engineering or related discipline.
• Minimum 5 years of engineering experience.
• At least 3 years of experience in civil & structural or architectural design for LTA MRT projects.

Job Description

• Assist the Design Manager and oversee the overall progress of design works on site.
• Manage drawing submission schedules in line with planned construction progress.
• Coordinate and review all design matters with LTA, authorities, consultants, and subcontractors.
• Provide technical solutions and offer design advice to internal teams.
• Manage and control design deliverables related to BIM, Technical, contractual, and cost requirements.
• Review subcontractors' shop drawings to ensure compliance with the design specifications and project standards.

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

Responsibilities

About the Team

ByteDance Networking brings together innovative ideas and technologies from network architecture, software-defined networking (SDN), network virtualization, switch software and hardware co-design, and high-speed networking, to create hyperscale data-center networking solutions that power several of the most popular apps of the world such as TikTok which serve billions of users around the globe.

ByteDance Networking is responsible for designing, building, and operating the global, intelligent network infrastructure to meet the requirements of high availability, scalability, and high-performance. By joining this team, you will gain marketable network experience in multiple areas on a massive scale.

Responsibilities

- Responsible for the delivery management of racks, network equipment, and integrated cabling within the datacenter. Developing and continuously optimizing delivery standards and processes to improve delivery efficiency.

- Responsible for the entire lifecycle management of network delivery, including data center site selection, site survey, network infrastructure design and requirements, supply management, and inventory management. Establishing process management standards, optimizing and improving them to ensure continuous and stable delivery.

- Following up on network delivery projects, proactively identifying risks and issues during delivery, and coordinating with all parties to resolve problems, ensuring the network project delivery SLA is met;

- Responsible for the overall construction of network delivery operation strategies, resource planning and operation, ensuring continuous improvement in network delivery capabilities and completeness.

- Integrating all aspects of demand, planning, equipment and material supply, allocation, warehousing, asset management, and network resource procurement and delivery. Continuously building and optimizing the platform capabilities for end-to-end network delivery.

Qualifications

Minimum Qualifications

- Bachelor's degree in electrical engineering, mechanical engineering or a related field.

- 5+ years of working experience in the related field。

- Familiar with datacenter infrastructure, network equipment power supply, network equipment installation and removal, and cabling site survey and construction.

- Experience in data center EFO design, network equipment delivery, and integrated cabling delivery management.

- Experience in data center network planning and construction projects, and familiarity with network equipment, optical modules, and cables.

Preferred Qualifications

- Familiar with ISP external resources planning and delivery, like dark fiber, leased lines and IPLC/IPT.

- Familiar with the entire end-to-end delivery process for datacenter.

- Experience in project management, with PMP certification.

Responsibilities

• Lead the deployment, configuration, and optimization of Hybrid IT solutions, including storage virtualization and hyper-converged infrastructure (HCI).
• Plan and manage project execution, including preparation of key documentation such as Statements of Work (SOW), build documents, and UAT plans.
• Design and implement end-to-end backup and data protection solutions across on-premises and cloud environments (AWS, Azure, GCP).
• Collaborate with Project Managers and clients to ensure timely delivery of project milestones and deliverables.
• Conduct and lead Proof of Concept (POC) sessions to align with customer business and technical requirements.
• Drive and manage Disaster Recovery (DR) exercises to validate RTO and RPO targets.
• Provide technical expertise during implementation and support activities, including issue resolution and troubleshooting.
• Work closely with vendors to manage, track, and close technical support cases effectively.

Requirements

• Diploma in IT or equivalent, with at least 2 years of hands-on experience implementing enterprise backup and data protection solutions (this is not a backup administrator role).
• Strong knowledge of server environments (Windows Server, Red Hat Linux), networking, and modern storage concepts including tiered, object, and distributed systems.
• Proficiency in enterprise backup platforms (e.g., Veeam, Cohesity, Commvault, Veritas, Rubrik) and cloud-native tools, with experience across both relational and NoSQL databases.
• Possess at least one recognised backup certification (e.g., VMCE, Commvault CCE/CCP, Cohesity, Rubrik), with strong communication skills and a proactive, customer-focused mindset.

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

Key Responsibilities:

• Partner with project managers, clients, and the development team to understand user needs, business goals, and technical requirements.

• Create user flows, wireframes, interactive prototypes, and high-fidelity designs for websites, mobile applications, and marketing materials.

• Present and articulate design concepts and solutions to internal teams, stakeholders, and management.

• Identify gaps in user insights, motivations, and pain points to strengthen design strategies.

• Propose and conduct user research initiatives, including usability testing, interviews, and surveys, and translate findings into actionable design recommendations.

• Collaborate with cross-functional teams, including product owners, to ensure solutions are feasible, scalable, and aligned with both user and business needs.

• Ensure all design outputs are visually compelling, intuitive, and consistent with established brand guidelines and design systems.

• Work closely with front-end developers to ensure accurate and high-quality implementation of designs.

• Contribute to front-end development efforts (training will be provided).

Requirements:

• A strong portfolio demonstrating visual design expertise, user-centered design thinking, research capabilities, and analytical skills.

• Proficiency in design tools such as Figma or equivalent platforms.

• Experience gathering requirements through workshops, stakeholder interviews, and research activities.

• Solid understanding of user research methodologies and hands-on experience conducting usability testing.

• Ability to communicate ideas effectively through storytelling, storyboards, mood boards, flowcharts, and presentation decks.

• Strong verbal, written, and visual communication skills with the ability to collaborate across teams.

• Exceptional attention to detail with a commitment to pixel-perfect execution and design system consistency.

• Ability to thrive in a fast-paced environment and manage multiple projects concurrently.

• Strong business acumen with the ability to align design decisions with broader organizational goals.

• Familiarity with Agile and Scrum methodologies is an advantage.

• Experience in project management is a plus.

• Experience in front-end development is a plus.
  

  Work Location: North / Central
  

  (EA Reg No: 20C0312)

  Please email a copy of your detailed resume to kayla@talentsis.com.sg for immediate processing.

  Only shortlisted candidates will be notified.

Job Description

• Industry/ Organization Type: Cooling Solutions Provider
• Position Title: Service Engineer
• Working Location: Kaki Bukit
• Working Hours: 5.5 Days, Monday – Friday (9am – 6pm), Saturday (9am – 1pm)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Perform periodic servicing, preventive maintenance, and troubleshooting of CRAC/ WDS and related systems.
• Diagnose hardware and software faults, identify root causes, and implement effective solutions.
• Execute equipment power-up/ down procedures and respond promptly to emergency service calls (e-calls).
• Provide technical support and onsite training to clients on Operation & Maintenance Manuals (OMM).
• Build and maintain strong client relationships, working closely with site engineers and customer engineering teams.
• Prepare detailed service reports and submit regular (weekly/ monthly) updates on activities, progress, and corrective actions.
• Monitor contractor activities, ensuring compliance with safety, operational procedures, and quality standards.
• Ensure adherence to data center safety regulations and support ad-hoc tasks assigned by management.

APPLY NOW!!!

• Minimum ITE/ Diploma in Mechanical or Electrical Engineering (or equivalent).
• At least 2 years of hands-on experience in maintenance engineering, preferably dealing with ACMV/ DX systems.
• Strong troubleshooting skills in electrical and mechanical systems
• Possess practical knowledge of CRAC/ WDS or critical infrastructure.
• Good problem-solving, analytical, and communication skills (both written and verbal).
• Willing to commit for standby duties, and ability to perform manual work in data center environments.
• Candidates without experience are welcome to apply, training will be provided.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83561 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

• Basic up to $4,000, depending on experience
• No experience also welcomed to apply, with minimum qualifications required
• Annual Increment + Performance Bonus
• Disciplines in either M&E or Building Services

Responsibilities:

• Lead project phases, ensuring adherence to resource, quality, and risk standards, while managing project profitability.
• Coordinate administrative aspects of projects, including reporting, claims, and invoice processing, up to final handover documentation.
• Identify and address project issues, proposing quality, risk, and administrative process improvements.
• Foster effective communication and negotiation, liaising between internal and external stakeholders to ensure project cohesion.
• Manage subcontractor integration, ensuring compliance with technical requirements.
• Interpret project drawings, identify discrepancies across trades, and develop resolutions.
• Oversee project planning, scheduling, and execution of alteration and addition (A&A) works to ensure on-time completion.
• Regularly update management and clients on project progress, maintaining transparency and accountability.

Requirements:

• A Diploma or Bachelor's Degree in Mechanical/Electrical Engineering or Civil/Construction/Building Services Engineering, with a strong understanding of electrical installations or relevant field.
• Proven leadership ability, with the skills to manage and motivate a team effectively.
• Excellent organizational and multitasking skills, capable of managing multiple projects concurrently.
• Demonstrated commitment, positivity, and the drive to work independently and deliver excellence.

Tyson Jay Management Pte Ltd | EA License No.: 24C2479

Ivan Lim | EA Personnel No.: R1109856

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.

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.

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 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

• Industry/ Organization Type: Project Management Solution Provider
• Position Title: Technical Sales /Inside Sales Engineer (Valves products)
• Working Location: North – Tagore Lane (Nearest MRT: Springleaf)
• Working Hours: 5 days (Monday to Friday: 8.45am – 6pm)
• Salary Package: Up to SGD 4500 + AWS + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Supervise and administer multifaceted projects in the oil & gas sector, focusing on structural components, piping & fittings, and valves
• Work with interdisciplinary teams to guarantee the effective completion of projects
• Formulate and apply purchasing strategies to enhance cost efficiency and product quality
• Perform market analysis and assess suppliers to ensure optimal partnership selections
• Negotiate and formalize agreements with vendors and suppliers to secure favorable terms
• Track project milestones to maintain strict adherence to deadlines and budget constraints
• Ensure all project activities comply with tender specifications and client requirement

APPLY NOW!!!

• Min. Diploma in Engineering
• Min. 2 years' experience in Project Management or Sales, specifically with valves in the Oil & Gas and Marine/Offshore sectors
• Strong project management skills and a customer service orientation are essential

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #76244 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

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.

THE ROLE:

We are the high-end test engineering team providing test solutions for Data Center New Product Introduction (NPI) under the Product Engineering Organization. We do exciting product development for leading-edge technology that will power the next generation processors used for high performance computing, data centers, and enterprise servers.

If you are looking for a fulfilling and challenging career as an engineer leading SLT (System Level Test) IVR (Integrated Voltage Regulator) Engineer, you are at the right place! In this role, you will be responsible for defining, driving and enabling SLT test solution with on-chip integrated voltage regulator to meet NPI business milestones and KPI (test time, yield, cost, quality). The expectation is to perform leadership to interact with Silicon/Board/Power design teams, Product & Test Engineering teams, Customer Quality teams, software & platform teams to bring new product from first silicon to HVM (High Volume Manufacturing) with aggressive schedule. You will experience working with and learning from AMD’s talented engineering teams around the world.

THE PERSON:

We are looking for someone with strong technical, analytical, leadership and problem-solving skills, as well as demonstrating the characteristic of an independent and resourceful individual. The applicant must have a proficient understanding of High Power Delivery (above 1kW) design, power capacitors and inductors, buck/boost converters, and ideally has experience with IVR (Integrated Voltage Regulator) as well as a broad understanding of silicon VFT (Voltage/Frequency/Temperature) behavior, on-die silicon power integrity, and system level power management etc.

KEY RESPONSIBILITIES:

• Accountable to provide leadership to meet business milestone, cost and quality in GPU system level test area.
• Collaborate with internal teams to drive IVR (Integrated Voltage Regulator) SLT swim lane from pre-silicon, ASIC initial bring up to HVM (High Volume Manufacturing)
• Solves complex, novel, and non-recurring problems; initiates significant changes to existing processes/methods and leads development and implementation
• Conduct engineering evaluations and analysis to qualify cutting-edge IVR for HVM and drive closure of GPU production issues
• Profile or characterize PI (Power Integrity), voltage droop, or power delivery issue observed on SLT platforms in collaboration with board/silicon designers
• Involves collaboration on or assuming the consultative or leadership responsibilities for a specific project or for product development initiatives
• May provide technical supervision or mentoring junior engineers
• Upscale overall team capabilities on low level system debug for AMD data center product families

PREFERRED EXPERIENCE:

• Experience and with good understanding of Power Delivery design for high power GPU product (above 1kW), and knowledge in state-of-the-art of IVR (Integrated Voltage Regulator)
• Strong expertise with using analyzers and oscilloscopes, and other debug tools
• Knowledge and working experience on GPU and HBM architecture, SoC design and SoC power management features are a strong plus
• Strong and effective presentation, written and verbal communication skills, and the ability to work with geographically distributed product engineering teams
• Proficiency in Windows, and Linux operating systems
• Basic scripting proficiency for automation (Shell script, Perl, Ruby, Python)
• 8 years or more industry experience

ACADEMIC CREDENTIALS:

• BS/MS Electrical Engineering, Computer Engineering, or comparable disciplines

LOCATION:

Singapore

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 8 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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.

Candidate shall lead and conduct research in development of AI-based robotic solutions particularly for manufacturing processes that deliver impactful research and industry deployment outcomes.

Key Role & Responsibilities:

• Lead stakeholder discussions to grasp problem statements, requirements, and expectations.
• Develop project proposals and scoping.
• Collaborate with multidisciplinary technology groups in development of robotic solution from design conceptualization to prototyping and factory deployment.
• Explore, evaluate and propose research based topics in alignment with RIE2030.

Requirements:

• Relevant Engineering degree with focus on robotics or mechatronics.
• Minimal 10 years of industry experience in manufacturing process automation. Preferably in automotive production, aerospace MRO, biomedical production/laboratory.
• Proficient in 3D modeling CAD software.
• Essential IT/OT integration know-how towards digital transformation.
• Basic knowledge in machine learning frameworks and modelling.
• Effective communication and stakeholder interaction abilities.
• Adaptable, hands-on, and self-motivated approach to work.

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 join our MOE AcRF Tier 1 funded research project at the Singapore Institute of Technology. You will be part of an interdisciplinary team spanning accounting and NLP/AI, working to design, build, and validate a pipeline that detects inconsistencies and contradictions between firms' written financial filings (10-K/10-Q) and spoken earnings call transcripts. The role involves implementing retrieval-augmented natural language inference models and LLMs, processing large-scale financial text data, and supporting empirical analysis of inconsistency scores. 

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Job Responsibilities

• Drive the technical execution of the research project under the guidance of the PI and Co-PI, ensuring project deliverables and timelines are met.
• Design and implement the retrieval-augmented NLI pipeline for inconsistency and contradiction detection across corporate disclosures (earnings call transcripts and SEC filings).
• Perform large-scale text preprocessing, cleaning, segmentation, and indexing of earnings call transcripts and financial filing corpora.
• Implement claims extraction modules using LLM-based approaches to identify key assertions from corporate disclosures.
• Build semantic retrieval mechanisms (e.g., Sentence-BERT embedding similarity search) for matching claim-context pairs across disclosure channels.
• Implement and evaluate contradiction detection models using NLI frameworks and LLM prompting techniques.
• Aggregate model outputs into firm-quarter level scores and prepare structured datasets for empirical analysis.
• Support human-in-the-loop validation by coordinating with student annotators and preparing annotation guidelines.
• Maintain reproducible research workflows using version control (Git) and systematic documentation of processes, code, and findings.

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Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field.
• Strong programming skills in Python, with experience in relevant libraries such as HuggingFace Transformers, PyTorch/TensorFlow, and scikit-learn.
• Prior experience or coursework in natural language processing, machine learning, or information retrieval.
• Familiarity with version control tools (e.g., Git/GitHub) and collaborative development practices.
• Experience with financial data or financial text analysis will be advantageous.
• Familiarity with LLM APIs, prompt engineering, and retrieval-augmented generation (RAG) workflows will be advantageous.
• Good communication skills and ability to work both independently and collaboratively.

Naval Architect 
Working hours : 5.5 days (Weekday 830AM - 530PM ; Saturday 830AM-1230PM)
Working location: Pioneer Sector (Transport provided in Jurong)
Salary: $3500 - $4500  

Job Summary: The Naval Architect will be responsible for designing and overseeing the construction of ships and marine structures, ensuring they meet performance, safety, and regulatory standards. This role involves applying principles of engineering, hydrodynamics, and materials science to develop innovative and efficient designs.

Job Description:

• Design and Development: Develop detailed designs and plans for new ships, boats, and marine structures using CAD software and other design tools.
  Analyze design specifications and requirements to create feasible and efficient ship designs.
  Conduct hydrodynamic analyses to optimize the vessel’s performance in various sea conditions.
  Ensure designs comply with international and national maritime regulations and standards.
• Project Management: Oversee the construction process, including coordinating with engineers, builders, and other stakeholders to ensure project milestones are met.
  Develop project timelines, budgets, and resource plans, and manage any changes or issues that arise.
  Conduct site inspections and supervise testing to ensure designs are implemented correctly.
• Technical Analysis: Perform structural, stability, and performance analyses of ship designs.
  Utilize simulation tools to predict vessel behavior and performance.
  Assess and incorporate feedback from testing and operational experiences to refine designs.
• Regulatory Compliance: Ensure all designs meet applicable safety and environmental regulations, including class society requirements.
  Prepare and submit necessary documentation for regulatory approvals and certifications.
• Collaboration and Communication: Work closely with clients to understand their requirements and provide technical guidance.
  Collaborate with multidisciplinary teams including engineers, naval architects, and project managers.
  Prepare and present reports, proposals, and design reviews to clients and stakeholders.
• Innovation and Improvement:S tay updated with the latest advancements in shipbuilding technology and materials.
  Propose and implement improvements in design processes, materials, and construction methods.

Qualifications:

• Bachelor’s or Master’s degree in Naval Architecture, Marine Engineering, or a related field.
• Professional licensure or certification as a Naval Architect is preferred.
• Proven experience in ship design, marine engineering, or a related field, typically 3-5 years.
• Proficiency in CAD software (e.g., AutoCAD, Rhino, ShipConstructor) and engineering simulation tools.
• Strong understanding of maritime regulations, safety standards, and environmental considerations.

Working Conditions:

• This role may require travel to project sites.
• May involve working in various environments including office settings, workshops, and on-site locations.