Total 713 Engineering job vacancies in PASIR GUDANG

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33283-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Job scope:

• Provide technical and after-sales service for Endoscopy equipment in local hospitals.
• Oversee installation of equipment according to specifications.
• Provide basic user training for equipment installed and coordinate with customers and site preparation of Endoscopy equipment.
• Analyze malfunctions.
• Consult engineering supervisor to resolve problems.
• Propose and advise customers in sign-ups of service contract.
• Perform servicing, repairing, and Preventive Maintenance for Endoscopy equipment under Maintenance contract
• Prepare site for installation of new Endoscopy Medical equipment, coordinating with customers.
• Support Sales and Marketing team in promotion of accessories and stand-in cases for endoscopy procedures to better understand the use and customer’s feedback.

Job Requirement:

• Diploma in Biomedical, Electrical, Electronic, or Mechanical Engineering, or equivalent.

• 0-2 years of related field service experience. Fresh graduate is acceptable.

• Technical Skills:
  - Device Troubleshooting: Ability to diagnose and repair multi-symptom hardware and software issues on complex electro-medical devices.
  - Calibration & Preventive Maintenance (PM): Expertise in following strict biomedical Standard Operating Procedures (SOPs) to guarantee device safety, compliance, and accuracy.
  - Network/ IT Integration: Understanding of hospital networking systems to ensure medical devices communicate seamlessly with electronic health records.

• Soft Skills:
  - Customer-Facing Communication: Must act as the face of service excellence, routinely interacting with doctors, nurses, and hospital biomedical teams.
  - High-Pressure Adaptability: Capacity to prioritise service effectively to minimize equipment downtime and ensure optimal patient care.
  - Physical& Availability Requirements: Must be physically capable of lifting equipment, willing to be on-call for after office hour or weekend duty
  
• Good communication and problem-solving abilities when collaborating with both internal teams and external stakeholders.
  
• Able to work independently and is detailed-oriented.
  
• Able to attend to breakdown after office hours or stand-in cases on weekends.

Job description

Work directly with the technical director to develop efficient algorithms for machines

Design, build and test computing systems for speed and performance

Derive computation methods with portable code for integration on complex systems, taking into consideration hardware used

Work with other team members to integrate computing systems onto practical systems with optical and mechanical systems.

Requirements

Degree/Master’s/PhD in computer science or related disciplines with relevant experience in programming, EDA, FPGA, etc.

Ability to code in C. Hardware optimisation for computations is a plus.

Ability to understand equations and solution methods to implement on complex systems

Understand how to apply AI and machine learning algorithms to practical problems

Must be an exceptional team player, willing to go the extra mile for high performing teams.

Must have adaptability to solve difficult problems with like minded team members.

Fresh graduates welcome.

About VSMC

VisionPower Semiconductor Manufacturing Company Pte Ltd (VSMC) is a new joint-venture 300mm semiconductor wafer manufacturing facility to be built in Singapore. We are looking for committed, resilient and passionate talents to launch a promising future that power the next generation devices and systems. If you share the same passion to pursue excellence, join us to make an impact and be part of something special!

Key Responsibilities

• Take charge of facility MEP package concept design and RFP Preparation for 300mm semi-conductor Fabrication plant.
• Supervise and monitor EPC contractors or design consultants’ design progress.
• On-site management MEP package construction schedule and commissioning.

Education Qualification & Essential Experiences

• Bachelor's degree in Mechanical Engineering or related field.
• 300mm fab facility mechanical system operating experience, especially Exhaust / Chiller / PCW & Clean Room Systems.
• Good skills of computer software e.x. Microsoft Office, Microsoft Project, AutoCAD etc.
• Candidates with proactive attitude and responsibility good collaboration experiences in construction project.

Key Skills and Attributes

• Good interpersonal and communication skills to work effectively across functions and geographical teams with diverse background
• Strong analytical and problem-solving skills to achieve positive results and outcome
• Goal driven and an excellent team player that can work under pressure in a dynamic and fast-paced environment
• Has a growth mindset, prioritizing adaptability, resilience, innovation, and ongoing learning to support business needs.

VSMC promotes diversity and inclusivity in our workforce; and hiring will be conducted in phases.

• Responsible for project follow-up and technical support for projects;
• Preparation for project delivery, including scheme review and test verification to ensure the project solution can be stably implemented;
• On-site delivery and implementation of the project;
• Handling and resolving product and system-level issues of the project;
• Recording the project delivery process, organizing project documents, and producing a project summary report after completion;
• Participating in project acceptance and presentation, demonstrating the project’s effects and functions to ensure successful acceptance.

Requirements:

• Bachelor’s degree or above in Computer Science, Communications, Electronics, or related fields, with fluent English in listening, speaking, reading, and writing;
• More than one year of experience in project technical support, with familiarity in network communication technology preferred;
• Excellent communication skills and service orientation, meticulous and detail-oriented work attitude, hardworking and resilient;
• Strong documentation writing skills.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Data-Engineering%29/33302-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a skilled and motivated Research Associate to join our environmental informatics team. In this role, the candidate will build and maintain the data infrastructure that underpins our environmental monitoring and early-warning systems. The work will involve diverse, high-volume data streams — including rainfall records, temperature sensors, radar imagery, and computer vision outputs — to deliver a unified, query table, and secure data platform that drives research, operational decision-making, and stakeholder dashboards. 

Key Responsibilities
1.  Environmental Data Platform
•    Design, build, and maintain a unified database to ingest and store diverse environmental data streams: rain gauge records, gridded temperature data, rainfall radar (e.g. OPERA, NEXRAD), satellite imagery, and computer vision model outputs.
•    Define and enforce common data schemas and ontologies across heterogeneous source formats (NetCDF, HDF5, GeoTIFF, CSV, JSON, REST/API feeds).
•    Implement scalable ingestion pipelines supporting real-time streaming and batch historical loads.
•    Ensure data traceability with robust metadata, provenance tracking, and versioning.

2.  Data Processing & Quality Assurance
•    Develop and maintain automated pipelines for data cleaning, outlier detection, and quality flagging.
•    Implement missing-data imputation methods appropriate to environmental time-series and spatial fields (e.g. interpolation, climatological fill, ML-based gap-filling).
•    Apply noise-removal algorithms (e.g. signal filtering, radar clutter suppression, spike detection) across sensor and remote-sensing data types.
•    Document processing logic and maintain reproducible workflow configurations. 

3.  Visualisation & Dashboards
•    Design and develop interactive dashboards for operational and research users, displaying spatial maps, time-series plots, and aggregated statistics.
•    Integrate visualisation tools (e.g. Grafana, Superset, Plotly Dash, or custom web front-ends) with the data backend.
•    Collaborate with domain scientists to translate monitoring requirements into effective visual analytics.
•    Ensure dashboards remain performant and responsive under live data load. 

4.  Data Security & Governance
•    Implement and maintain role-based access control (RBAC) for all data assets.
•    Enforce data encryption at rest and in transit; manage secrets and credentials securely.
•    Support compliance with relevant data governance policies and institutional data-sharing agreements.
•    Maintain audit trails and access logs; respond to security reviews and risk assessments.

5.  Infrastructure & Operations
•    Manage cloud or on-premise database services (e.g. PostgreSQL/PostGIS, TimescaleDB, InfluxDB, or equivalent); tune for time-series and geospatial query performance.
•    Maintain CI/CD pipelines for data pipeline code; apply version control best practices.
•    Monitor pipeline health, set up alerting for failures, and respond to incidents.
•    Contribute to infrastructure-as-code practices (Docker, Kubernetes, Terraform or equivalent)

Job Requirements

•    Possess at least a Master’s degree in computer science, Data Engineering, Environmental Informatics, or a closely related field.
•    3–6 years of professional experience in data engineering, with demonstrable work on time-series or geospatial data.
•    Proficiency in Python (pandas, NumPy, xarray, or similar) and SQL; experience with at least one workflow orchestration tool (Airflow, Prefect, Luigi, etc.).
•    Hands-on experience with geospatial or scientific data formats: NetCDF, HDF5, GeoTIFF, GeoJSON, or similar.
•    Working knowledge of relational and time-series databases, with practical experience in data modelling.
•    Familiarity with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker).
•    Solid understanding of data security principles: encryption, RBAC, secrets management. 
•    Open to fixed-term contract. 

Experience
•    Experience with environmental, meteorological, or hydrological datasets (radar QPE, NWP outputs, IoT sensor networks).
•    Familiarity with PostGIS or other spatially enabled database extensions.
•    Exposure to machine learning pipelines or MLOps practices for model output ingestion.
•    Experience building dashboards with Grafana, Apache Superset, Plotly Dash, or equivalent.
•    Contributions to open-source scientific data tooling (e.g. xarray, GDAL ecosystem).

Core Competencies
•    Preferably knowledge with Python, SQL, Bash
•    Time-series & geospatial DBs
•    Data pipeline orchestration
•    Cloud & containerisation
•    Dashboard & BI tools
•    Data security & RBAC

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.

Job Summary

You will inspect, maintain, troubleshoot, and repair construction equipment, including boom lifts and scissor lifts, as well as mechanical and electrical components to ensure safety and functionality. You will perform installations and maintenance at client sites, including working at height and handling physically demanding tasks.

Responsibilities

• Inspect construction equipment, including boom lifts and scissor lifts, to identify maintenance and repair needs for safe operation.
• Maintain and troubleshoot mechanical, hydraulic, and electrical components to ensure equipment reliability.
• Service, repair, and install mechanical and electrical parts to meet operational standards.
• Diagnose and repair faults in boom lifts, scissor lifts, and other access equipment.
• Conduct load testing and functional testing to verify equipment safety and compliance.
• Perform installations, repairs, and maintenance tasks at client sites to support project requirements.
• Work safely at height and complete physically demanding tasks to fulfill job duties.
• Handle ad-hoc technical duties as assigned to support team and project needs.

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 2 years of work experience in the digital backend design field. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivation, good teamwork spirit.

5. Salary is negotiable for excellent candidates.

What you will do:

The Senior Application Engineer is responsible for technical support – primarily customer quotations and business development case studies for various composite applications. Key emphasis will be on the ability to understand customer requirements and rapidly demonstrate how composite based solutions can be utilized to provide solutions with costing, timing, and resources included in the proposals. This position will require travel with the business development team to customer facilities during visits to discuss these future opportunities in depth.

How you will do it:

• Provides customer support by responding to requests for technical queries with detailed analysis of building management system, schedule of creation, tooling costing, and submittal of design and process improvements, when applicable, to meet all customer product needs.
• Works with engineering, sales, and ops staff to understand standard component fabrication techniques, standard composite materials to use, and current demands of our customers to formulate design details for the sales staff and our customers.
• Provides product technical engineering information by creating and giving presentations on customer proposals. This contains, but is not limited to, 3D representations of finished goods, 3D representations of tooling, etc.
• Prepares cost estimates by studying blueprints, plans, and related customer documents; consulting with engineers, and other professional and technical personnel.
• Conceptual design of composite components and assemblies to support proposals
• Generate solid and surface component and assembly CAD models
• Ability to compose detailed bill of materials for proposals
• Work as part of a team of design and engineering and ops staff
• Knowledge of ACMV and controls associate with Johnson Control Metasys will be an advantage

What we look for:

• Bachelor's Degree in Process & Instrumentation Engineering, Electrical Engineering with minimum 7 years relevant working experience
• Possess knowledge in PLC programming. Pcvue or ICONICS software
• Transportation composite or other composite experience preferred
• Willing to learn new things
  Require interaction with clients, consultants and sub-contractors, etc.

Job Summary

Support electronic lab activities in a Research & Development environment by fabricating and inspecting cable assemblies, performing re-work, documenting records, and assisting with assembly and functional checks.

Responsibilities

• Fabricate cable assemblies following IPC standards to ensure quality and compliance
• Inspect cable assemblies to verify adherence to IPC quality standards
• Perform re-work on cable assemblies as needed to meet quality requirements
• Document fabrication and inspection records accurately for traceability
• Assist with general electronic lab activities including assembly, functional checks, and re-work to support R&D projects
• Participate in on-the-job training and apply learned skills to improve lab processes

Preferred competencies and qualifications

• Basic spoken Mandarin to facilitate communication within the team
• Fresh NITEC or diploma holders are encouraged to apply

Other Information

• Work location: One North/Buona Vista Area
• Regular working hours with attractive remuneration
• Immediate opening

What you will do:

The Senior Application Engineer is responsible for technical support – primarily customer quotations and business development case studies for various composite applications. Key emphasis will be on the ability to understand customer requirements and rapidly demonstrate how composite based solutions can be utilized to provide solutions with costing, timing, and resources included in the proposals. This position will require travel with the business development team to customer facilities during visits to discuss these future opportunities in depth.

How you will do it:

• Provides customer support by responding to requests for technical queries with detailed analysis of building management system, schedule of creation, tooling costing, and submittal of design and process improvements, when applicable, to meet all customer product needs.
• Works with engineering, sales, and ops staff to understand standard component fabrication techniques, standard composite materials to use, and current demands of our customers to formulate design details for the sales staff and our customers.
• Provides product technical engineering information by creating and giving presentations on customer proposals. This contains, but is not limited to, 3D representations of finished goods, 3D representations of tooling, etc.
• Prepares cost estimates by studying blueprints, plans, and related customer documents; consulting with engineers, and other professional and technical personnel.
• Conceptual design of composite components and assemblies to support proposals
• Generate solid and surface component and assembly CAD models
• Ability to compose detailed bill of materials for proposals
• Work as part of a team of design and engineering and ops staff
• Knowledge of ACMV and controls associate with Johnson Control Metasys will be an advantage

What we look for:

• Bachelor's Degree in Process & Instrumentation Engineering, Electrical Engineering with minimum 8 years relevant working experience
• Possess knowledge in PLC programming. Pcvue or ICONICS software
• Transportation composite or other composite experience preferred
• Willing to learn new things
  Require interaction with clients, consultants and sub-contractors, etc.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/AI-Engineer-for-AI-Singapore-%28AI-Talent-Development%29/33282-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF), Singapore, to build and anchor deep national capabilities in AI.  

AISG is supported through a government-wide partnership including the NRF, Ministry of Digital Development and Information (MDDI), Infocomm Media Development Authority (IMDA), Economic Development Board (EDB) and Enterprise Singapore (ESG). We bring together research institutions and the vibrant ecosystem of AI start-ups and companies to support impactful research, develop talent, and power Singapore's AI efforts.

AI Singapore (AISG) in partnership with the SAF AI Centre (SAIC), is seeking an experienced AI engineer to provide mentorship and consultancy to SAIC engineering teams, support real-world project selection for skills deepening, and enable professional certification readiness.

SAIC is a unit within the Digital and Intelligence Service, dedicated to addressing SAF's operational data science challenges and operationalising AI solutions. As the centre of excellence for AI, SAIC enhances the operational capabilities of SAF, driving productivity and efficiency through innovative AI solutions that advance SAF's defence capabilities.

Duties & Responsibilities

In this role, you will:

• Develop and deliver AI courses and programmes that raise AI fluency level for SAF workforce, including but not limited to playbooks for operational users and raising awareness of common AI use cases within SAF.
• Provide technical mentorship via sprints or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact.
• Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. 
• Assist Senior AI Engineer to develop and maintain a job-skills-proficiency (JSP) map.
• Assist Senior AI Engineer to execute AI engineer certification programme.

Qualifications

• Degree in computer science, engineering, data science, or equivalent practical experience.
• Minimum 1 year in software engineering / ML engineering / applied AI and deploying models into production.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Additional job description

The team mission is to provide users with a digital version of their real-world identity that they can use offline and online as a replacement for physical identity cards. We use International Organization for Standardization (ISO) and OpenId standards to allow governments to provision identity credentials to Google Wallet, and then present these credentials to interested parties.

Qualifications

Job responsibilities

• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  
• Contribute to the development of features within Google Mobile Services (GMS) Core, in modules related to payments, tap-and-pay, and mobile document storage.
  
• Engage in the full software development lifecycle, from concept and design to testing, release, and monitoring.
  
• Write code in Java or Kotlin for the Android platform. Troubleshoot and debug issues across the stack.
  
• Collaborate with Product Managers, User Experience (UX) Designers, and other Engineering teams across Wallet, Android, and Google to define and implement user-facing features.
  

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software programming in Java or Kotlin.
• 2 years of experience with Android application development.
  
• 1 year of experience building software for data privacy or identity management.

Preferred qualifications

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with data structures and algorithms.
• Experience with digital credentials and their associated standards.
• Experience developing accessible technologies.

Product area

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Job description

As a Customer Engineer in the technical sales team, you will be supporting the enterprise segment. You will equip companies with Google tools to make technology at work more simple, secure and shareable. You will inspire leading companies and government agencies to work smarter with cloud or web first strategies through Chrome Enterprise and take advantage of advanced enterprise capabilities for administrative controls.

Qualifications

Job responsibilities

• Act as the primary platforms and devices enterprise solutions technical lead on key accounts. Bring together cross-functional agreement team members to design and execute comprehensive technical sales strategies and opportunity technical win plans.
• Work with the sales team to guide and accelerate the transition of leading companies, partners and government agencies to Chrome Enterprise, which encompasses Chrome Enterprise Premium, Chrome Operating System (OS), and their collective management tools.
• Identify key customer technical objections and develop the strategy to resolve technical impediments.
• Provide proactive consultation and strategic guidance for utilizing scalable enablement and funding programs to accelerate proof-of-concepts and pilots.
• Own the technical sales motion to accelerate new bookings, upsells, and expansions across the core enterprise portfolio (Chrome Enterprise Premium, ChromeOS, Cameyo, Pixel/AE, etc.).

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
  
• 10 years of experience in a customer-facing or technical project management role.
• 5 years of experience working with enterprise operating systems including Chrome.
• Ability to communicate in English and Mandarin fluently in order to communicate in this customer-facing role.
  

Preferred qualifications

• Experience in the following areas of IT infrastructure: networking (e.g., VPN, Wireless, protocols), identity management (e.g., SSO, SAML, ActiveDirectory), and security (e.g., VPN, firewalls).
• Experience with application delivery including: web application and integration (e.g., HTML5, JavaScript, CSS), VDI solutions (e.g., Citrix, VMWare, RDP), and mobile apps.
• Experience with managed endpoint devices (e.g., PC or mobile), and the growing ecosystem of browser-based applications and collaboration tools.
  
• Deep knowledge of Google Cloud Platform or Google Workspace solutions.