Total 2,211 Information Technology job vacancies

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.

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

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

• 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 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