Total 2,653 job vacancies in Singapore

Job Summary

We are seeking a dedicated WSH Officer to ensure safety compliance and manage workplace health and safety on LTA projects, primarily during night shifts at SMRT stations.

Responsibilities

• Enforce compliance with the WSH Act, WSH (Construction) Regulations, and relevant Approved Codes of Practice to maintain a safe work environment
• Apply knowledge of LTA’s Safety, Health and Environment (SHE) requirements to oversee project safety standards
• Prepare and manage ConSASS documentation to support project safety audits and compliance
• Monitor and conduct safety inspections during engineering hours, predominantly night shifts from 12am to 8am, to identify and mitigate hazards
• Collaborate with project teams to implement effective safety measures and respond to safety incidents promptly
• Maintain valid registration as a WSH Officer with MOM and as an ECO with NEA to ensure regulatory compliance

Required competencies and certifications

• Registered WSH Officer with the Ministry of Manpower (MOM) with valid registration
• Registration as an Environmental Control Officer (ECO) with the National Environment Agency (NEA)
• Recognised WSH Officer qualification such as Specialist Diploma in WSH or MOM-approved equivalent
• Minimum 3 years’ experience as a WSH Officer on LTA projects

Preferred competencies and qualifications

• Sound working knowledge of the WSH Act, WSH (Construction) Regulations, and relevant Approved Codes of Practice
• Familiarity with LTA’s Safety, Health and Environment (SHE) requirements
• Experience in preparing ConSASS documents

OtherInformation

• Location: All SMRT stations
• Work schedule: Predominantly night shift (engineering hours) from 12am to 8am

Job Description

• Liaising with clients and maintaining the orders
• Making calls to assigned clients and following up on leads, opportunities
• Processing of Sales Orders in the online ordering system
• Attending to incoming enquires, understanding clients' needs and identifying sales opportunities
• Prepare quotation based on clients' requirements
• Perform procurement of inventory or parts
• Coordinate with client and engineering team on delivery and installation
• Performing general administrative duties (e.g. data entry, document scanning, filing, secretarial support)
• Perform all other duties or projects as and when assigned

Requirement

• Diploma in any relevant discipline.
• Computer literate with good knowledge in Microsoft Office
• Team player with good communication skills
• Customer service oriented
• Fresh graduates welcome to apply

Working Hours: 5.5days (Mon-Fri office hours, Sat half day)

Job Scope

• Responsible for handling in-bound calls and email requests for general enquiries within the hospital targeted service standard levels.
• Managing large amounts of inbound and outbound calls in a timely manner
• Following call center “scripts” when handling different topics
• Identifying customers’ needs, clarify information, research every issue and providing solutions

Requirements

• Minimum GCE O levels/N Levels/Diploma in any discipline
• Good communication and interpersonal skills

WA me at http://wa.me/+6598326219 or tele me at @sallytsin

For interested candidates, please send your most recent and updated resume to sallytsin@recruitexpress.com.sg

Tsin Chien Yee Sally
R25127272
Recruit Express Pte Ltd
EA License No. 99C4599

• Bachelor's degree in Information Technology, Computer Science, Engineering, Business Administration, or a related field.
• Minimum of 3 years of demonstrable experience as a Systems Analyst in IT systems delivery projects.
• Knowledge and experience in the following technological areas will be advantageous:

o J2EE-based solution & development for WebSphere/Weblogic Application Servers and Oracle/MSSQL Database Servers.

o .NET based application development, including thick client C# application development

o Understanding of event-based architecture and microservices

o CI/CD practices and tools

o Domain Knowledge in National ID Cards, E-Passports, Biometrics, Smart Cards, Immigration Clearance Gates.

• Proven experience working on enterprise-level projects with complex business processes and integrated systems.
• Ability to conduct technical assessments, analyze system architectures, and translate business needs into technical specifications.
• Strong understanding of Software Development Life Cycle (SDLC) and various methodologies
• Relevant certifications such as Agile SCRUM Master/Product Owner is advantageous.

Job description

• Greet, welcome, and attend to all visitors in a professional and friendly manner

• Manage incoming calls, direct them to the appropriate departments, and take accurate messages when necessary

• Identify customer needs and support sales opportunities where applicable

• Prepare quotations based on client requirements

• Process Sales Orders in the online ordering system

• Perform general administrative duties such as data entry, document scanning, filing, and maintaining records

• Carry out any other tasks, assignments, or projects as assigned by management
  

Requirements

• Diploma in any relevant discipline

• Computer literate with good knowledge in Microsoft Office

• Team player with good communication skills

• Customer service oriented

• Fresh graduates are welcome

Job Description

Technology Innovation & Strategy

• Define and drive the Company’s technology roadmap and long-term innovation strategy.
• Identify, evaluate, and adopt emerging technologies that enhance product capabilities and operational efficiency.
• Lead technical research initiatives, feasibility studies, proof-of-concept projects, and prototype development.
• Monitor industry trends and technological advancements relevant to creator platforms, software engineering, intelligent systems, and content creation technologies.
• Advise executive management on technology investments, technical risks, and innovation opportunities.

Creator Platform & Product Development

• Lead the evolution of the Company’s game editor, creator tools, and supporting platform technologies.
• Drive improvements in creator workflows, content creation pipelines, development tools, and platform architecture.
• Collaborate with product and engineering teams to translate business requirements into scalable technical solutions.
• Establish engineering standards, software development best practices, and technical governance processes.
• Support the development of next-generation creator experiences that improve usability, efficiency, and content quality.

AI-Assisted Content Creation & Automation

• Research, evaluate, and implement AI technologies that enhance creator productivity and content production workflows.
• Drive the development of AI-assisted capabilities for 3D asset generation, character generation, environment generation, and procedural content creation.
• Explore AI technologies for animation generation, motion synthesis, auto-rigging, skinning, and character behavior generation.
• Research and support intelligent solutions for game logic understanding, gameplay generation, scripting assistance, and content authoring.
• Evaluate Large Language Models (LLMs), multimodal AI systems, generative AI technologies, and intelligent agents for practical integration into creator workflows.
• Lead initiatives to improve development efficiency through AI-powered automation and intelligent tooling.

Engineering Leadership

• Lead, mentor, and develop engineering and research team members.
• Manage technical planning, resource allocation, project execution, and delivery schedules.
• Foster a culture of innovation, collaboration, technical excellence, and continuous learning.
• Facilitate effective communication between engineering, product, and management teams.

Job Requirements

• Master’s Degree or PhD in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical discipline.

• Minimum 10 years of experience in software engineering, system architecture, engineering research, or technology leadership roles.

• Proven experience leading engineering teams and delivering complex software development projects.

• Strong knowledge of software architecture, distributed systems, scalable platform development, and software engineering best practices.

• Experience developing software platforms, development tools, creator tools, content creation systems, workflow platforms, or technology products.

• Strong programming and technical problem-solving skills with experience in Python, Java, C++, C#, JavaScript, or similar technologies.

• Experience evaluating, adopting, and integrating emerging technologies into commercial software products.

• Familiarity with Artificial Intelligence, Machine Learning, intelligent automation, Large Language Models (LLMs), multimodal AI systems, or AI-assisted software solutions is highly preferred.

• Strong analytical thinking, research capability, and technical decision-making skills.

• Excellent communication, leadership, project management, and stakeholder management abilities.

Preferred Qualifications

• PhD in Computer Science or a related technical field.
• Experience leading technology innovation programs, engineering research initiatives, or advanced product development projects.
• Experience founding, scaling, or managing technology startups.
• Experience working with creator platforms, UGC ecosystems, development tools, content creation workflows, or interactive software products.
• Experience with Generative AI, LLMs, multimodal AI systems, AI agents, or AI-powered productivity tools.
• Experience with 3D asset generation, animation generation, motion synthesis, auto-rigging, skinning, procedural content generation, or related technologies.
• Experience applying AI technologies to improve product functionality, creator productivity, or operational efficiency.
• Demonstrated ability to bridge research, engineering, and product development to deliver commercial value.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated MachineLearning) for Large Language Models (LLM). You will design and deploy automated research frameworks that autonomously discover. optimize, and train the next-generation LLM architectures. You will bridge the gap between hardware constraints and model design ensuring that the automatically optimized architectures achieve or exceed the pre-training efficiency and downstream performance of state of the art established base models

Key Responsibilities

• Design, build and scale automated search and optimization systems (Such as Neural Architecture Search, evolutionary algorithms, or LLM-driven research agents) to autonomously discover optimal LLM architectures
• Analyze and integrate hardware level constraints (e.g. tensor parallel limits, memory bandwidths, latency, cache hierarchies, FLOPs, and energy efficiency of target silicon) into the optimization loop
• Scale up discovered architectures to perform large-scale pre-training. Ensure the final models meet to exceed the performance, training efficiency, and convergence rate of existing top-tier foundation models
• Develop accurate, cost effective proxy task, evaluation protocols, and scaling laws to predict full-scale LLM performance from early-stage automated search limits
• Collaborate closely with chip architects, system/compiler engineers, and foundation model researchers to co-optimize hardware execution efficiency and model training algorithms
• Stay at the forefront of AutoML, hardware-software co-design, and LLM pre-training literature, contributing to peer-reviewed publications and IP generation where applicable

How will you stand out

• Master's or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field with a focus on Deep Learning
• Strong research background in LLM pre-training, Transformer architectures, and scaling dynamics
• Hands-on experience with AutoResearch, AutoML, automated optimization algorithms, or using AI agents/LLMs for automated scientific discovery
• Solid understanding of GPU/accelerator architectures, memory hierarchies, parallel training strategies(tensor, pipeline, data parallel) and hardware performance profiling
• Production grade coding skills in Python and deep learning frameworks (e.g. Pytorch, JAX, Megatron-LM, Deepspeed).
• Demonstrated experience in training, scaling and evaluating large scaling models from scratch
• Having first author publications in top tier machine learning or system conferences (e.g. NeurIPS, ICML, ICLR, ASPLOS, ISCA, MLSys) is preferred
• Experience writing custom kernels (e.g. Triton, CUDA) or working with machine learning compilers are preferred
• Direct experience working with silicon/chip design teams to customize model architectures for specific ASIC/GPU/FPGA constraints.
• Experience building self improving AI Loops or automated coding research assistants

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

Job Responsibilities:

• Provide daily support for systems software, networks, servers, and end-user devices via IT Helpdesk, remote assistance, and onsite support.
• Station at client sites or travel to multiple locations daily as required.
• Configure, maintain, and troubleshoot network infrastructure for office and store locations, including LAN, WAN, WLAN, VPN, and wireless systems.
• Administer and manage server infrastructure (on-premises and cloud), including AWS, DNS, Active Directory, DHCP, and domain controllers.
• Deploy and manage customer server hardware, virtual machines, storage appliances, routers, firewalls, switches, and other network equipment.
• Plan, lead, and execute system and network infrastructure deployment projects.
• Assist in developing infrastructure designs based on technical requirements and standard IT service offerings.
• Monitor system and network performance, troubleshoot issues, and ensure uptime meets service level agreements (SLAs).
• Implement proactive improvements by analyzing past incidents and identifying weaknesses in the infrastructure.
• Implement and maintain network and system security measures including firewalls, IDS/IPS, and secure access policies.
• Apply formal change management, incident management, and problem management processes.
• Maintain documentation, checklists, and regular reports for operational tasks.
• Perform other ad-hoc duties as assigned.

Requirements:

• Diploma/Degree in Information Technology or a related discipline.
• Hands-on experience working in a Windows environment.
• Microsoft-related certifications or other relevant technical qualifications will be an advantage.
• Strong interpersonal and communication skills, with the ability to work effectively with all levels of personnel.
• Independent, self-motivated, and capable of handling responsibilities with minimal supervision.
• Ability to prioritize tasks effectively and perform under tight timelines.
• Strong analytical and problem-solving skills.
• Hands-on knowledge for Cloud Platform – MS Azure, especially Entra, M365 Security etc will be an advantage

Operating heavy vehicles (such as lorries, tipper trucks, and cement mixers) to transport materials, equipment, and personnel to and from project sites

Core Duties & Responsibilities

• Vehicle Operation: Drive Class 4 heavy vehicles safely according to traffic laws and company policies.
• Transportation: Deliver building materials (e.g., steel, earthworks) and safely transport construction workers to and from project sites or dormitories
• Loading & Unloading: Manually or mechanically load and unload cargo, ensuring items are secured safely to prevent damage during transit.
• Documentation: Verify delivery items against invoices, purchase orders, and delivery orders. Update delivery apps, logbooks, and sign-offs accurately.
• Vehicle Maintenance: Conduct pre-trip and post-trip inspections (checking tires, fluids, and brakes) and report any mechanical faults immediately. Maintain the cleanliness and general upkeep of the truck.
• Route Planning: Navigate traffic and plan the most efficient routes to meet scheduled delivery timeframes.
• Valid License: A valid Class 4 driving license issued by the Singapore Traffic Police (or relevant local authority) with a clean driving record.
• Physical Fitness:Ability to lift heavy objects and perform manual labor during loading/unloading tasks.

Valid Singapore Class 4 Driving License.

Clean driving record.

Familiarity with Singapore routes and construction site locations.

Physical fitness for heavy lifting and ability to work flexible shifts (including overtime or early morning/night shifts).

Often requires additional safety certifications like the Construction Safety Orientation Course (CSOC/BCSS) or Lorry Crane Operator certificates depending on the specific vehicle
Drive company lorry to deliver construction materials, tools, and equipment

Transport NTS workers daily to and from dormitory and project sites

Conduct daily vehicle checks and ensure roadworthiness

Load and unload materials or heavy items when required

Maintain cleanliness and proper condition of the vehicle

Follow site safety rules and safe driving practices

Report vehicle defects, accidents, or incidents promptly

Maintain basic delivery and transport records

Follow traffic laws.

A Class 4 Concrete Driver operates heavy vehicles to transport ready-mixed concrete from batching plants to construction sites. Primary duties involve safely navigating construction zones, precisely unloading mixed concrete, and ensuring the concrete remains workable within tight delivery time constraints.

Core Duties and Responsibilities

Vehicle Operations & Transport

• Safe Driving: Safely operate a heavy concrete mixer/cement truck on public roads and within confined construction sites.
• Route Planning: Plan optimal routes to avoid traffic or low-clearance areas to ensure timely deliveries.

Concrete Delivery & Handling

Slump Checks: Perform visual checks on the concrete slump (consistency) to ensure it meets customer specifications before pouring.

Unloading Process: Operate the truck's chute and mixing controls to precisely pour the concrete at designated job sites.

Time Management: Comply strictly with concrete pouring guidelines to avoid hardening (usually requiring discharge within 90 minutes of mixing).

Maintenance & Cleanliness

• Pre/Post-Trip Inspections: Conduct daily vehicle checks (brakes, tires, hydraulics, fluids) to ensure roadworthiness and workplace safety.
• Drum Cleaning: Wash down the truck exterior and interior mixer drums using high-pressure water hoses to prevent concrete from hardening and damaging the equipment.
• Basic Servicing: Perform minor troubleshooting and routine maintenance tasks.

Responsibilities

• Safely and efficiently transport goods from the batching plant to customer sites, providing excellent customer service.
• Unload goods at designated job sites within the specified time frame.
• Maintain cleanliness of assigned trucks at all times.
• Ensure mixer drums are free of hardened concrete.
• Perform visual checks on concrete slumps and follow standard procedures.
• Conduct truck maintenance according to the maintenance checklist at planned intervals.
• Deliver delivery orders (Do's) to customers, ensuring they are signed and returned to the plant.
• Perform additional tasks as instructed.

About Innowave Tech

Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in developing cutting-edge technologies for innovation and efficiency. Our focus is on leveraging computer vision and large-scale data analytics to meet the complex needs of our clients.

Position Overview

We are looking for a Lead IoT Engineer to spearhead the end-to-end development of our IoT products. This role covers hardware, firmware, and software integration, with a strong focus on product lifecycle management. You will lead a small team of engineers, work closely with clients, and collaborate across product, operations, and manufacturing teams to deliver production-ready solutions.

Key Responsibilities

1. Lead the end-to-end development of IoT solutions, covering hardware, firmware, and software.
2. Manage the full product lifecycle from concept and prototyping to pilot and production.
3. Provide technical leadership for a small team engineers, including mentoring, task allocation, and design/code reviews.
4. Engage directly with clients for requirement gathering, solution presentations, and troubleshooting.
5. Oversee project management activities: timelines, documentation, andrisktracking.
6. Collaborate with product managers, operations, suppliers, and manufacturing teams.

Technical Skills

• Hardware: PCB design, electronics fundamentals, sensors, microcontrollers (STM32, ESP32), industrial protocols (Modbus, CAN, RS485).
• Firmware: C/C++ for MCUs, RTOS, Linux device drivers, low-level debugging.
• Software: Python, Node.js (or similar) for middleware; cloud integration (AWS/Azure); containerization (Docker, Kubernetes).
• Networking: TCP/IP, MQTT, HTTP/REST APIs, and security protocols.
• Tools: Altium/KiCad, Git, Jira, CI/CD pipelines.

Qualification

• Bachelor’s degree in Electrical/Electronic Engineering (EE/EEE), or equivalent experience.
• 3+ years of experience in IoT, embedded systems, or related product development.
• Prior team leadership and product development experience preferred.
• Background in semiconductors, industrial IoT, or automation industries preferred.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an IC Verification Engineer, you will lead the functional verification of complex IPs and SoCs. You will design and implement verification plans, build reusable testbenches, and collaborate closely with design teams to ensure high-quality, bug-free silicon.

Key Responsibilities

• Develop and implement comprehensive verification plans for IP and SoC levels.
• Architect and build reusable testbenches and verification environments using UVM (Universal Verification Methodology).
• Create directed and constrained-random tests to identify design bugs.
• Develop functional coverage and assertion checks to ensure verification completeness.
• Analyze simulation results, debug test failures, and work with design teams to resolve issues.
• Automate verification flows and regressions using scripting languages.
• Support emulation and FPGA prototyping efforts.

How you will stand out

• Bachelor’s or Master’s degree in Electrical/Electronics Engineering, Computer Science, or a related field.
• Solid experience in functional verification of ASICs/SoCs.
• Strong proficiency in SystemVerilog and UVM methodology.
• Experience with verification tools and simulators (e.g., VCS, Xcelium, Questa).
• Programming and scripting skills (e.g., C/C++, Python, Perl, TCL) are highly desirable.
• Knowledge of formal verification techniques is a plus.
• Strong analytical and debug skills with a keen attention to detail.
• Ability to work effectively in a collaborative, cross-functional team.

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an R&D Engineer (Multimodal AI Agents), you will lead the development of next-generation AI agents capable of perceiving, reasoning, and acting within real-world graphical user interfaces. You will work at the intersection of Computer Vision, Natural Language Processing, and Reinforcement Learning to transform cutting-edge research into scalable, production-ready systems for Android and cross-platform environments.

Key Responsibilities

• Design, train, and optimize Large Multimodal Models (LMMs) for GUI understanding, including screen parsing, grounding, and action prediction
• Build end-to-end agent pipelines covering perception, planning, reasoning, and execution loops across dynamic UI environments
• Track, reproduce, and improve cutting-edge research in GUI agents (e.g., DroidRun, Surfer, AutoGLM) and adapt them to real-world use cases
• Develop robust evaluation frameworks to measure agent performance, reliability, and safety in complex software environments
• Translate research concepts into working prototypes and production-ready systems with strong engineering rigor
• Contribute to patents, technical publications, and internal knowledge building aligned with company innovation goals

How will you stand out:

• Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field
• Demonstrated research or technical impact through publications, open-source contributions, or significant projects -- (Please include a link to your Google Scholar profile or portfolio in your application)
• Proficiency in Python, with experience in large-scale model training, data processing, and system implementation
• Solid understanding of Vision-Language Models, Transformer architectures, or multimodal learning systems
• Familiar with agent optimization or training techniques, such as Reinforcement Learning (e.g., PPO, RLHF) and agent evaluation frameworks or benchmarking environments
• Experience in UI understanding tasks, such as object detection and OCR
• Proficiency with deep learning frameworks such as PyTorch or JAX

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage, balancing performance and cost
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

How You Will Stand Out

• Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments
• Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation
• Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• Ability to translate cutting-edge research (LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions
• Strong systems thinking with a research-oriented mindset and solid engineering execution
• Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.