Total 2,088 Others/Any job vacancies

The Frontend Engineer plays a key role in building intuitive, performant, and scalable user interfaces for digital applications. The role requires strong expertise in modern front end technologies, UI/UX engineering, and software craftsmanship. You will work in an Agile, DevOps‑enabled environment, collaborating closely with product, design, QA, and engineering teams to deliver high‑quality frontend solutions that are reliable, secure, and maintainable.

Key Responsibilities

1. Frontend Development & UIEngineering

• Develop responsive, accessible, and high‑quality web interfaces using modern JavaScript frameworks and UI engineering practices.
• Implement reusable components, optimize performance, and uphold frontend architecture standards.
• Ensure user interfaces meet accessibility guidelines and deliver exceptional user experiences.

2. Collaboration & Delivery

• Partner with Business Analysts and Product Managers to refine user stories and convert them into workable technical requirements.
• Work closely with designers to translate wireframes, prototypes, and design specifications into production‑ready interfaces.
• Collaborate with DevOps engineers to automate build, testing, deployment, and release pipelines.

3. Testing, Quality & XP Practices

• Strengthen software quality through practices such as pair programming, code reviews, continuous refactoring, and unit testing.
• Collaborate with QA teams to support automated test suites and address defects proactively.
• Contribute to continuous integration and delivery workflows in an Agile environment.

4. Security & Performance

• Implement secure coding practices and address vulnerabilities such as XSS, CSRF, and other frontend security risks.
• Optimize performance through techniques such as code splitting, lazy loading, reducing re‑renders, and optimizing resource usage.
• Ensure applications adhere to web performance and security best practices.

5. Documentation & TechnicalStandards

• Document key architectural decisions, coding standards, UI patterns, and development guidelines.
• Maintain clear records of frontend best practices and contribute to internal knowledge‑sharing.

Required Skills & Experience

Core Frontend Skills

• Strong proficiency in JavaScript, TypeScript, HTML5, and CSS3.
• Hands-on experience with frameworks such as React, Next.js, Vue, Svelte, or Angular.
• Understanding of state management tools: Redux, Recoil, Zustand, MobX, or equivalents.
• Experience working with UI libraries such as Tailwind CSS, Material‑UI, Chakra UI, Bootstrap, etc.

Tooling & Engineering

• Proficiency with Git and branching strategies (GitFlow, trunk-based development).
• Experience with modern build tools like Webpack, Vite, esbuild, Parcel.
• Familiarity with modern CSS methodologies (BEM, CSS Modules, Styled Components).
• Experience using frontend testing tools such as Jest, Mocha, Jasmine, React Testing Library, Playwright.

Backend Integration

• Experience integrating REST APIs, GraphQL, and WebSockets.
• Understanding of data fetching patterns, error handling, and client‑side caching.

DevOps & CI/CD

• Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, Netlify, Vercel, etc.
• Ability to collaborate with DevOps teams on automation and deployment pipelines.

Security & Performance

• Strong understanding of frontend security best practices.
• Experience optimizing application performance for scalable, production-grade applications.

Software Engineering Practices

• Experience working within Agile teams (Scrum, Kanban) with strong communication and collaboration.
• Knowledge of Extreme Programming (XP) practices, including TDD, pair programming, continuous refactoring, and incremental delivery.
• Ability to produce clean, maintainable, and well‑structured code adhering to software craftsmanship principles.

Qualifications

• Degree or Diploma in Computer Science, Information Technology, Computer Engineering, Electronics Engineering, or related disciplines.
• Strong understanding of modern web technologies and frontend architecture.

Please submit resumes to john@oaktree.com.sg with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

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 Description

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

Roles & Responsibilities​

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

Job Requirements​

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

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

Job Description

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

Roles & Responsibilities​

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

Job Requirements​

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 5 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment.

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

Job Description:

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

Roles & Responsibilities​:

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

Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 5 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment

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

Job Description:

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

Roles & Responsibilities​:

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

 Job Requirements​:

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

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

Job Description:

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

Roles and Responsibilities:

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

Job Requirements:

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

Desired Skills & Experience:

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

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

Job Description:

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

Roles & Responsibilities​:

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

Job Requirements​:

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

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

About the Team:

The Robotics Technology team is a core part of Grab's long-term vision to build urban embodied AI. Our engineers take full ownership of the product lifecycle: designing and manufacturing hardware in-house, developing control and machine‑learning systems, and rigorously testing in real-world conditions and production fleet operations. This is a fast-moving, multidisciplinary environment where software, hardware and data science experts collaborate to solve practical challenges at scale. We are executing an ambitious growth plan to expand our robotics fleet across cities over the coming years, and we are focused on delivering highly productive, safe and efficient robot delivery services that help address current delivery labor shortages.

Based in Singapore and China, we offer opportunities to work on the latest autonomy, deploy solutions in complex environments, and directly influence the future of last‑mile logistics. If you're excited by tangible impact, large-scale systems and cross-functional engineering, you'll find meaningful challenges and rapid career growth here.

You will report to the Head of Engineering.

Work type: 5-day in office at Grab Headquarter.

Get to know the Role:

As the core architect of "Spatial Intelligence" for our last-mile delivery robots, you will lead the R&D of high-precision, robust, and cost-effective SLAM technologies. Your work will directly determine the robot's ability to navigate autonomously and safely through complex, dynamic urban environments (e.g., residential areas, commercial streets, office parks), driving the system from prototype to large-scale commercial deployment.

Work Type: 5-day onsite.

The critical tasks you will perform

1. Core Algorithm R&D & Optimization (50%)

• Multi-modal Fusion: Lead the development of SLAM algorithms for large-scale, semi-structured environments, focusing on tightly-coupled localization and mapping architectures using LiDAR, Vision, Odometry, and IMU.
• Scenario Robustness: Overcome unique last-mile challenges: filtering dense dynamic obstacles, resolving localization ambiguity in repetitive scenes, ensuring seamless indoor-outdoor transitions, and maintaining stable centimeter-level localization in GNSS-denied areas (e.g., urban canyons, tunnels).
• Cost-Efficient Solutions: Build SLAM solutions optimized for low-cost hardware (e.g., solid-state LiDAR, cameras) and ensure long-term map stability.

2. Engineering Excellence & Deployment (30%)

• Performance Balancing: Lead the deployment and optimization of SLAM algorithms on edge platforms (e.g., NVIDIA Jetson Orin, Horizon J5), achieving an extreme balance between precision and high-frequency real-time output.
• Production Implementation: Refactor code architecture for production; manage memory, power consumption, and coordinate with hardware teams on sensor selection, calibration, and temporal synchronisation.
• Mapping Toolchain: Design and implement automated toolchains for map generation, updates, and cloud management to support rapid operational expansion.

3. Closed-loop Iteration & Collaboration (20%)

• Evaluation & Truth Systems: Build performance evaluation frameworks (using metrics like ATE and Loop Closure success rates) to drive continuous algorithm evolution via data loops.
• System Synergy: Collaborate with Perception and Planning/Control teams to provide high-quality, low-latency pose estimation and semantic map data, enhancing overall motion intelligence.

Position Overview

As a Software Engineer, you will be part of an agile, cross-functional team that designs and develops mission-critical digital platforms for the public sector. You will work across the full technology stack — creating responsive front-end applications and robust backend services that are reliable, secure, and scalable.

The position offers exposure to a wide range of technologies and opportunities for growth. This is an ideal role for engineers who are passionate about learning, problem-solving, and building impactful solutions.

Key Responsibilities

• Design, develop, and deliver scalable and tested features across the full stack — including responsive portal plugins using Next.js, Redux, and JavaScript, and backend services using Java, Python, and C++.
• Work in Agile teams, contributing to sprint planning, development, reviews, and continuous improvement.
• Collaborate closely with QA, UI/UX, and DevOps engineers to ensure technical robustness and user-centric design.
• Implement unit and integration tests to support automated testing and CI/CD pipelines.
• Investigate, troubleshoot, and resolve software defects and production issues in a timely manner.
• Participate in code reviews, maintain documentation, and adhere to secure coding best practices.
• (Optional) Support architecture design or system integration work with government authentication or data exchange frameworks.

JOB REQUIREMENTS

• At least 1–3 years of hands-on experience in software development.
• Proficiency in at least one backend language — Java, Python, or C++.
• Experience developing front-end applications using Next.js, Redux, and JavaScript/TypeScript.
• Strong understanding of RESTful API design, object-oriented programming, and secure coding practices.
• Familiarity with Agile methodologies and collaboration tools (e.g., Jira, GitLab, Confluence).
• Good problem-solving skills, with the ability to work independently and in teams.
• (Bonus) Experience with cloud environments (AWS, Azure) or real-time/IoT systems.

What We Offer

• Opportunity to work on meaningful public sector digital initiatives.
• A supportive, purpose-driven team culture.
• Structured career development and technical upskilling.
• Access to modern tools, cloud technologies, and secure DevSecOps environments.

Additional Information

Shortlisted applicants may be involved in classified or sensitive projects that require handling of restricted information. As such, selected candidates will be required to undergo a security clearance process as part of the employment consideration.

5 dayweek @ One-North MRT area
Singaporean

Maestro HR
damien lee tian hong
R1106726
16C8462

• Responsibilities:

• Review and understand Test requirements provided by Design authority and Functional teams
• Developing and executing test plans and strategies
• Contribute to Design of MX test pack and propose and feedback on feasibility of automation
• Defect triage and management
• Managing regression and performance testing progress
• Runbook planning and management
• Agile principles, including Jira dashboards and Confluence-based runbooks
• Preparing DSR and keeping the stakeholders updated
• Responsible to interact with users for validation of test automation results

• Mandatory Skills Description:

• 4 to 8 years of relevant Test Management experience for a Murex
• 3-5 years of MX test experience.
• Knowledge on financial market products and their lifecycle
• Experience on Murex setup and functional tests using various modules of Murex is desirable
• Ability to work independently
• Experience in working direct with Technical leads, project managers and Business Analysts in business and IT organizations
• Experience of the execution of tests throughout the lifecycle of development projects
• Strong knowledge on the various Murex generated logs and trace the trades across the Murex tasks
• Good knowledge on the various configurations in Murex.
• Excellent communication, interpersonal skills, and problem-solving skills
It would be important to have Murex Migration project experience with exposure to 3.1.42.48b to 3.1.6x.x

• Nice-to-Have Skills Description:

• 2+ years of Murex implementation test management experience
• Documentary work ability
• Time management
• Teamwork
• Cooperative skills
• All-round knowledge of the Murex application
• Should possess an understanding of financial markets
• Basic knowledge on financial instruments such as Fixed Income, FX, Equities

Job Description

Key Responsibilities

1. Licensing & Regulatory Engagement

• Lead and manage the application process for a payment services license (SPI/MPI) with the Monetary Authority of Singapore 
• Prepare and submit all required documentation, including business plans, compliance frameworks, and risk assessments 
• Act as the primary liaison with regulators, responding to queries and managing follow-ups 
• Ensure full compliance with the Payment Services Act and related MAS guidelines 

2. Bank Liaison & Account Management

• Serve as the primary compliance contact for banks and financial institutions 
• Coordinate onboarding and ongoing due diligence for corporate and safeguarding accounts 
• Ensure alignment between bank requirements and regulatory obligations (e.g., AML/CFT, safeguarding of customer funds) 
• Respond to bank queries on suspicious or unusual transactions and risk management procedures 
• Maintain strong professional relationships with banking partners to facilitate smooth operations 

3. AML/CFT Compliance & MLRO Function

• Develop, implement, and maintain AML/CFT policies and procedures in line with regulatory expectations and Financial Action Task Force standards 
• Oversee KYC, CDD/EDD processes, and transaction monitoring systems 
• Act as the designated MLRO, including filing Suspicious Transaction Reports (STRs) 
• Conduct enterprise-wide risk assessments and periodic reviews 

Requirement

Education & Experience

• Bachelor’s degree or above in Law, Finance, Business, or related disciplines 
• Minimum 5–10 years of experience in compliance, preferably in payments, fintech, or financial services 
• Proven experience in applying for or managing payment services licenses in Singapore 

Well experienced with strong knowledge in .NET/C# Development [min 10 Years, Must]

• Hands on knowledge working with ASP.NET Web APIs

• Hands on knowledge working with architecture styles/APIs (REST, RPC) / Able to integrate existing API (REST)

• Strong Experience in Design Patterns, Solid Principles and Object-oriented application design

• Good experience and strong proficiency with SQL server and its variation among popular databases [min 5 Years, Must]

• Skilled at optimizing large, complicated SQL statements.

• Capable of troubleshooting common database issues.

• Familiar with tools that can aid with profiling server resource usage and optimizing it

• Good experience working with Angular 8 or greater – [min 3 Years, Must]

• Skills in one or more chosen frameworks/libraries like jQuery or Bootstrap

• CSS pre-compilers like Sass and LESS

• Creative problem solver and solution developer when presented with conflicting requirements, business demands and technical risks/issues.

• Strong Knowledge of Visual Studio 2017/2019 and visual studio code

• Proficient understanding of code versioning tools such as Git / SVN

• Excellent troubleshooting and communication skills

• Attention to detail, Self-directed and self-motivated with the ability to take charge or play a supporting role

• Experience working in a fast-paced environment.

• Strong understanding of product development

• Understanding of Agile methodologies

• BSc/BA in Computer Science, Engineering or a related field

Job Description

• Involved in designing overall architecture of the web application.

• Developing back-end applications.

• Designing and developing the user interfaces.

• Designing and developing APIs.

• Creating servers and databases for functionality.

• Maintain code integrity and organization.

• Maintain quality and ensure responsiveness of applications.

• Collaborate with the rest of the development and product management team to design and launch new features.