About Beca

Beca is one of Asia Pacific’s largest independent advisory, design and engineering consultancies. After a century of operation, we have grown from a family-owned business to one of the most progressive, client-centric professional services consultancies in our region. We have more than 4,000 employees in 21 offices around the world and have delivered projects in more than 70 countries.

‘Creative people together transforming our world’ is our vision. It reflects our culture, our aspirations and our purpose - to make every day better. We create value through understanding and delivering successful solutions, exceptional service and our enduring relationships and use our skills and systems to empower innovation; helping our clients shape communities, optimise their assets and streamline their operations.

Our employee-ownership model remains key to our future. It underpins our commitment to building and sustaining long-term relationships with our clients, it helps drive our positive, purpose-driven and growth-oriented culture, it sets us apart from our competitors, and it gives meaning to our social contract.

While our experience has been 100 years in the making, it is the fresh talent we're nurturing, the innovative thinking we're developing and the connections that we're forging that get us most excited for the future.

We are currently recruiting for experienced Senior Engineer – Mechanical / Environmental Sustainability to join our Building Services team in Singapore.

You will be joining our Centre of Excellence (CenEx) team, led by one of our Technical Director who was recently conferred the SGBC-BCA Professional Leadership in Sustainability Award.

Senior Engineer – Mechanical (ESD)

About You

We’re looking for someone who loves to learn and share knowledge – someone who can bring a fresh perspective to ensure the development of the people around them and who constantly seeks better practice for the overall quality of our work and our client experience.

Your passion, design and problem-solving mindset will be matched with a desire to work on meaningful and significant projects with the team.

Responsibilities

In this role, you will be responsible to:

• Leading mechanical services design and environmental sustainability design for building projects.
• Assume responsibility and undertake engineering tasks of increasing scope and complexity.
• Carry out site condition assessment, feasibility studies, energy audits and technical due diligence.
• Responsible for analysis of information, production of design, tenders, proposals and technical report writing.
• Assist in coordination of quality assurance and commissioning of designs with other disciplines and other design consultants.
• In charge of jobs control, planning, monitoring, progress and job cost reporting.
• Communicate effectively with the client, sub-consultants, contractors, and other parties relevant to the job.
• Assist in assessment and review of designs prepared by others on behalf of the clients.
• Liaise with authorities on plans submission and compliance.

Pre-Requisites

• Degree in a Mechanical Engineering recognised by Professional Engineers Board, Singapore.
• Minimum 5-7 years relevant working experience in the design & supervision of building service projects and Fire Protection.
• Experience in leading roles for design & design management of residential, commercial, institutional or hotel projects will be an advantage.
• Familiarity with codes of practice, relevant regulations and a working knowledge of authority submission and approval procedures.
• Understanding of energy efficient mechanical systems and equipment with Green Building design experience and knowledge of Green Mark/ LEED is an added advantage.
• Competent user of relevant engineering software and simulation tools.
• Excellent written & spoken communication skills in English.
• Able to work independently & exercise initiative.
• Excellent delegation and communication skills, which sees you enlist the help of others to meet objectives
• A team, client and delivery focused working style
• Experience in a consulting environment

Job Highlights

• Career Advancement
• Medical & Telecommunication Allowance
• AWS & Variable Bonus

Why Beca?

We offer a comprehensive career growth and development programme along with a vibrant and supportive team environment. If you enjoy working for an organization that values partnership, tenacity, enjoyment and cares for its people and clients, then look no further than Beca.

If this sounds like the opportunity you have been waiting for, apply now with your CV and cover letter online today.

Please include the following information in your resume:

● Education background

● Work experiences

● Reason(s)for leaving

● Current and Expected salary

● Date of availability / Notice Period

The Beca Group of Companies is an Equal Opportunity Employer and all applications are kept strictly confidential.

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Lead RTL design, simulation, and verification for TetraMem ASIC/SoC products, ensuring robustness.
• Integrate and validate IP blocks for seamless system functionality.
• Analyze requirements for Power, Performance, and Area (PPA), optimizing design trade-offs.
• Collaborate with backend team in RTL coding, implementation, and synthesis for successful tapeout.
• Create and maintain reusable IPs for AI/in-memory computing.
• Support Post-Si testing to ensure product functionality and quality.
• Mentor junior engineers to facilitate their professional growth.
• Contribute to design reviews for improved product performance and reliability.
• Stay current on RTL design methodologies for efficiency and quality.
• Collaborate with cross-functional teams for successful product development.

Requirements:

• Minimum Master in Electrical Engineering with 5 years of working experience with emphasis on RTL/SoC/digital design.
• Proficient in Verilog and SystemVerilog.
• Proficient in VCS, Verdi, or similar industry-standard tools.
• Skilled in pre-layout and post-layout simulation.
• Knowledgeable about the design flow and collaboration with backend teams.
• Familiar with AMBA APB and AXI protocols.
• Familiar with RISC/Arm or other core architectures.

__________________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

No experience/Diploma in Precision/Mechanical/Mechatronic/Electrical/Electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400-$2800+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Address: Gul Circle (Have company bus transportation islandwide)

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Job Summary:

Responsible in providing general direction towards a successful completion of a project, ensuring the disciplines follow the quality standard set forth by the company. The job entails but not limited to identification of critical aspects of project execution and addresses them before they manifest as problems; verification and management of manhour consumption of different disciplines during the project execution.

Responsibilities and Duties:

• Knowledge in designing of air-Conditioning & mechanical ventilation system, refrigeration system & coldroom system.
• Perform overall quality control of the work (budget, schedule, plans, personnel’s performance, monitor and coordinate the assigned engineering projects) and report regularly on project status.
• Cooperate and communicate effectively with project manager and other project participants to provide assistance and technical support.
• Assign responsibilities and mentor project team.
• Review engineering deliverables and initiate appropriate corrective actions.
• Perform risk management to minimize project risks.
• Preparation of shop-drawings submission, OMM & T&C report for client.
• Assist in on tendering BQ & quotations for projects.
• Interact with clients on a daily basis.

Qualification:

• Minimum Diploma in engineering.
• Work experience within construction industry or similar relevant field.
• Ability in handle multiple projects simultaneously.
• Knowledge of codes, standards and procedures.
• Proficient in AutoCAD, BIM, microsoft office , etc.
• Proactive problem solver, Outstanding communication, Time management, Interpersonal, Leadership skills, Attention to details.
• SG Class 3 Driving License.
• Language: English, Mandarin.

Company Profile

Airnovation Engineering Pte Ltd is a company dealing with coldstores as well as airconditioning & mechanical ventilation works. We design & build for logistics players. The innovative development of industrial and commercial cold storage is our main growth driver. I.e to say we are doing installation works for big warehouses etc.

Tasks:

● Develop and implement SLAM algorithms for accurate simultaneous localization and

mapping of autonomous robots in outdoor environments..

● Integrate sensor data from various sources (lidar, cameras, IMUs, wheel encoders) to

improve SLAM performance and accuracy.

● Utilize calibration techniques to ensure accurate sensor data fusion for SLAM.

● Collaborate with other team members to ensure overall system integration and

functionality.

Education:

● A bachelor's or master's degree in Robotics, Computer Science, Electrical

Engineering, or a related field is typically required.

Technical Skills:

● SLAM algorithms: Proficiency in developing and implementing SLAM

techniques such as EKF-SLAM, Graph SLAM, or FastSLAM.

● Sensor fusion: Experience with integrating data from sensors such as lidar,

cameras, IMUs, and wheel encoders for accurate localization and mapping.

● Robotics: In-depth understanding of robotic systems, kinematics, dynamics,

and control theory.

● Programming languages: Proficiency in languages commonly used in

robotics, such as C++, Python, or ROS (Robot Operating System).

● Simulation tools: Experience with robotic simulation frameworks like Gazebo

or V-REP.

● Problem-solving and analytical skills: Strong analytical and problem-solving

abilities are vital for identifying issues, debugging complex systems, and

proposing effective solutions.

● Communication and teamwork: Excellent verbal and written communication

skills to collaborate with cross-functional teams, document technical

specifications, and present findings effectively.

Experience:

● SLAM implementation: Prior experience in developing SLAM algorithms and

systems for autonomous robots.

● Sensor integration: Knowledge of integrating sensor data from various

sources to improve SLAM performance.

● ROS: Practical experience with the Robot Operating System (ROS) for robotic

software development and integration.

We seek individuals with highly developed conceptual, strategic, and analytical skills, capable of striking a balance between visionary thinking and practical solutions. The ability to comprehend, inspire, and mobilize others is crucial. A business-oriented mindset coupled with effective storytelling will drive your success. We are looking for self-starters ready to take on responsibilities with enthusiasm.

As an ML Engineer, your pivotal role involves operationalizing ML Models developed by Bank data scientists. You will serve as the focal point for ML model refactoring, optimization, containerization, deployment, and quality monitoring. Your main responsibilities will include:
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements

Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. This can include monitoring for data drift, triggering model retraining and setting up rollbacks.

Optimize AI development environments (development, testing, production) for usability, reliability and performance.

Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs).

Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended.

Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective. This also involves staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams.

• Proficiency in Python used both for ML and automation tasks
• Good knowledge of Bash and Unix/Linux command-line toolkit is a must-have.
• Hands on experience building CI/CD pipelines orchestration by Jenkins, GitLab CI, GitHub Actions or similar tools is a must-have.
• Knowledge of OpenShift / Kubernetes is a must-have.
• Good understanding of ML libraries such as Panda, NumPy, H2O, or TensorFlow.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g., Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, Dataiku, H2O, or DKube).
• Knowledge of Distributed Data Processing framework, such as Spark, or Dask.
• Knowledge of Workflow Orchestrator, such as Airflow or Ctrl-M.
• Knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
• Experience in defining the processes, standards, frameworks, prototypes and toolsets in support of AI and ML development, monitoring, testing and operationalization.
• Experience in ML operationalization and orchestration (MLOps) tools, techniques and platforms. This includes scaling delivery of models, managing and governing ML Models, and managing and scaling AI platforms.

Permanent, Full Time

We are seeking candidates with:

· A diploma/degree in Marine & Offshore Engineering, Mechanical Engineering, or Electrical Engineering.

· At least 10 years of experience in Engine Repair & Maintenance.

Roles & Responsibilities

· Perform the repair, maintenance, or overhaul of marine diesel engines 2 & 4 stroke.

· Comply with all the requirements to carry out the jobs in the shipyards or anchorages.

· Lifting and shifting heavy components of engine back to the workshop for repair/reconditioning and vice-versa.

· Ensure prompt response and smooth communication with the customers

· Perform other tasks as may be assigned by the Operation Manager

Job Requirements:

· Relevant marine / mechanical / engineering qualification

· Rich hands-on experience in trouble-shooting, maintenance and repair is a must.

· Willing to work in a shipyard/anchorage environment

An attractive remuneration package and career growth opportunities await the successful candidates. Interested applicants are invited to email with detailed resumes indicating their current and expected salary.

Job Description

• Oversee in-house engineering design works of ACMV system, including detailed design, heat load calculation, shop drawings, hydraulic calculation, duct/pipe sizing, equipment selection, etc.
• Manage ACMV design coordination with other trades with BIM coordination.
• Liaise with ACMV suppliers for quotation, responsible for equipment selection, technical and commercial evaluation.
• Responsible for material submittals for ACMV equipment and materials to the Consultant for approval.
• Coordinate with project schedule in organizing Purchase Order, arrange timely delivery of all ACMV equipment and materials.
• Attending technical coordination meetings with Main-con, Consultants and Employer.
• Assist Project Manager and site personnel in planning, execution, and completion of projects.
• Liaise and work closely with the Consultant, Employer, site supervisor and workers on the progress of M&E work to meet the project schedule.
• Assist in the preparation of progress payment claims and variation orders as required.
• Prepare documentation and carry out testing and commissioning, combined services testing for TOP/CSC.
• Handover of completed work activities with as built drawings and O&MM to respective authorities or clients to in timely manner and delivery with desired quality standards.
• Participate in tender preparation works for new projects.

Requirements

• Minimum bachelor’s degree in mechanical engineering
• Min 5 years Singapore-based ACMV experiences in Construction Industry.
• Proficient in AutoCAD and Revit.
• Experience and relevant knowledge in ACMV calculations including heat load, pump sizing, air flow rate, chilled water system performance, chiller sizing and configuration, fan sizing and more.
• Experience of design and coordination skill.
• Familiar to ACMV, Green Mark and fire code requirement with knowledge of basic design and necessary submission for tender bidding and construction, TOP and CSC.
• Tender Bidding and Project cost Analytical and Critical Thinking
• Proactive and willing to learn and take on new challenges.
• Experience in Consultant Company preferred.
• QP/PE, Green Mark manager or other BCA/SCDF/PUB authority certification is an advantage.

We are looking for multiple seasoned Senior and Staff System Engineers to grow an Edge AI & Systems software team to the next level. This team works within the larger ASIC team to architect and enhance Neural Network solutions in the Video Processor roadmap including these current and older products:

• https://www.ovt.com/products/oax8000/
• https://www.ovt.com/products/oax4600/
• https://www.ovt.com/products/oa7100/

Deliveries:

• Neural Network Processor (NPU) architecture, programming Model, simulation, verification, profiling and optimization
• Specification, review and verification of other IP blocks
• FPGA images and IO boards for pre-silicon verification and design exploration
• Boot ROM, bare metal BSPs, sample applications

Responsibilities:

• Support Inference Engine, Toolchain and ASIC teams on NPU
• Constantly improve productivity through automation in all areas

Skills:

• Strong ANSI C bare-metal design, implementation, optimization and debugging using GCC-like toolchains
• Strong processor architecture knowledge: ARM/RISC-V ISA, symmetric multiprocessing, cache architecture, SIMD, Vector Processing, custom instructions
• Strong software, hardware and FPGA debugging capability
• Good communication, collaboration, task estimation & reporting, CI/CD via tools such as Confluence, Git, JIRA etc
• Familiarity with

o Python for prototyping, demo, verification and/or automation

o OS: GNU/Linux, proprietary RTOS, Bare metal

The following will be advantageous:

• Detailed and comprehensive understanding of TinyML (e.g. TensorFlow Lite for MCUs), from training, quantization through to operator execution, optimizing for power, performance, and size.

Requirements:

1. Ph.D/MSEE/BSEE in Electrical Engineering, Computer Science or Computer Engineering
2. At least 5 years of commercial embedded system architecture and development experience.

• Provide pre-sales technical support to propose cost competitive system design solution based on tender spec & customer requirement
• Design solutions for Access Control, CCTV, Public Address, Emergency Voice Communication, Fire Alarm, Integrated Security Management and other necessary system as deemed required by the prospective customer / project (90 %)
• Foundational understanding of IT and Network systems will be necessary in design and technical assessments.
• Knowledge of Cyber-security issues and solutions will be an advantage.
• Review technical specification, system schematic, floor-plan drawings documents
• Provide system proposal and design that meet requirements & be cost competitive
• Manage the technical Compliance Appraisal, prepare Bill of Quantities and system write-up for the designed systems
• Manage Installation Work Appraisal (Scope of Work for installation)
• Prepare technical document submissions & product sourcing
• Support technical meeting with customers, end-users, consultants & vendors etc
• Demonstrate systems / products performance to clients and staffs
• Collaborate with sales, purchase & admin teams to meet tender submission date in time
• Product evaluation & POC support on potential system
• Report various system job request status with respect to milestone schedule to Section Head and all technical problem hindering system design progress

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

We are seeking a Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• Deploy, optimize, and integrate generative AI models onto edge devices, ensuring efficient performance in real-world applications.
• Develop robust pipelines and frameworks for AI model inference on edge platforms, considering hardware constraints and latency requirements.
• Optimize AI models for power efficiency, memory footprint, and computational speed, utilizing techniques like quantization, pruning, and model distillation.
• Conduct thorough testing, debugging, and performance validation of deployed models under various real-world conditions.
• Work closely with researchers, data scientists, and software engineers to bridge the gap between research prototypes and deployable solutions.

Job Requirements:

• Master’s degree or above in Computer Science, Electrical Engineering, Artificial Intelligence, or a related discipline.
• Bachelor’s degree holders with relevant industry experience are also encouraged to apply.
• Strong background in machine learning and deep learning, particularly in generative AI models.
• Proficiency with relevant programming languages and frameworks such as Go, Python, C++, and CUDA.

Additional Criteria:

• Industrial experience in relevant areas such as AI deployment, edge computing, or R&D is desirable.
• Ability to work independently with limited supervision and collaborate effectively within a multidisciplinary team.
• Strong problem-solving skills and the ability to adapt to hardware constraints and real-world challenges.
• Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM Cortex, and mobile chipsets) and related tools.

We regret that only shortlisted candidates will be notified.

No experience/Diploma in Precision/Mechanical/Mechatronic/Electrical/Electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400-$2800+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Address: Gul Circle (Have company bus transportation islandwide)

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

We are seeking a talented and experienced Structural Engineer to join our dynamic team in Singapore, Singapore. As a key member of our engineering department, you will play a crucial role in designing, analyzing, and overseeing the construction of various structural systems for commercial, residential, and industrial projects.

• Develop and review structural designs for buildings, bridges, and other infrastructure projects
• Perform complex structural analyses using advanced software tools to ensure the safety and integrity of structures
• Collaborate with architects, contractors, and other engineering disciplines to create innovative and efficient structural solutions
• Prepare detailed structural drawings, specifications, and calculations in compliance with local building codes and international standards
• Conduct site visits to monitor construction progress and ensure adherence to design specifications
• Analyze and resolve structural issues that arise during the construction phase
• Prepare and review technical reports, including structural calculations and design criteria
• Participate in client meetings and presentations to communicate design concepts and solutions
• Stay updated on the latest industry trends, technologies, and best practices in structural engineering

. QAQC Inspector (Fabrication /Welding)

Responsibilities:

• Preparing or establishing that a welding procedure is available, has been approved as

required by the appropriate authority and is being employed in production.

• Witnessing of welder and procedure approval tests that including of the preparation of test

pieces and destructive tests and verifying compliance with appropriate standards and

specifications.

• Verification that adequate and valid welder approvals are available, and that only approved

welders as required are used in production.

• Interpretation of weld drawings and weld symbols.

• Performing of visual inspection and ensure that all finished goods are checked and approved

prior to any delivery of handover.

• Verification that post weld heat treatment has been conducted in accordance with

specification requirements.

• Appreciation of the factors influencing the formation of weld defects and their acceptability

in relation to the written specification.

• Coordination with QC Inspector (Hull/Structure and Piping) and NDT Coordinator, to verify

and ensure that all finished welds are checked and approved prior to any delivery of

handover.

• Ensure that quality assurance standards and procedures are maintained.

• Ensure that reports that are required are completed accordingly to the project

specifications.

• Liaise with Contractor, Production and Client’s representative to ensure the product is

checked and complied with the project quality plan and specifications.

• Perform any other tasks as may be assigned by the supervisor.

• Ensure compliance to relevant government regulations and company’s quality, safety, health

and environmental (QSHE) policies, practices and procedures at all times.

Requirements:

• Minimum Diploma in Engineering or relevant field of International certification (e.g. AWSCWI or CSWIP 3.1 WI).

• Physically fit since some of tasks require lifting of some equipment.

• A team player with the ability to work independently as well as in a team

• Good communication skills, meticulous, resourceful, able to multi-task

• Computer literary (MS. Office).

Job Responsibilities:

• Support continuous improvement efforts in QMS.
• Support in root cause analysis and implementation of corrective/ preventive actions for process related concerns.
• Analyze and provide timely respond to customer complaints.
• Interface with Customer and Operations to ensure new product transfer to manufacturing are in accordance with approved requirements.
• Prepare Quality performance metrics and reports.

Requirements:

• Diploma in Mechanical Engineering, Quality, or equivalent.
• Minimum 2 years work experience in Quality Management System in manufacturing environment.
• Good knowledge of ISO 9001. Knowledge of API Q1 is preferred.
• Strong command of English language, both oral & writing.
• Knowledge of metal working industry is preferred.
• Knowledge of risk assessment principles and methods.
• Knowledge of SAP is preferred.
• Positive & proactive attitude.

Responsibilities:

• Collaborate with Senior Engineers for design requirements and specifications.
• Assist in Analog, mixed-signal, and digital IC design.
• Participate in RTL coding and verification for digital ICs.
• Support design verification tasks.
• Conduct circuit simulations and analysis using Cadence, Synopsys, and Mentor Graphics tools.
• Assist layout engineers with floor planning.
• Analyze and debug silicon failures, suggesting design improvements.
• Contribute to the development of design methodologies to enhance efficiency.
• Document design work and test plans.
• Collaborate with cross-functional teams to ensure successful tape-out.

Requirements:

• Bachelor’s Degree in Electrical Engineering or equivalents.
• At least 2 years of relevant working experience.
• Understanding the IC development flow in advanced CMOS processes, including design, layout, and tape-out.
• Understanding the fundamental theories of digital or analog circuit design.
• Capability to generate inventive designs and circuit solutions tailored to fulfill customer needs.

__________________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Job Responsibilities:

• Support continuous improvement efforts in QMS.
• Support in root cause analysis and implementation of corrective/ preventive actions for process related concerns.
• Analyze and provide timely respond to customer complaints.
• Interface with Customer and Operations to ensure new product transfer to manufacturing are in accordance with approved requirements.
• Prepare Quality performance metrics and reports.

Requirements:

• Diploma in Mechanical Engineering, Quality, or equivalent.
• Minimum 2 years work experience in Quality Management System in manufacturing environment.
• Good knowledge of ISO 9001. Knowledge of API Q1 is preferred.
• Strong command of English language, both oral & writing.
• Knowledge of metal working industry is preferred.
• Knowledge of risk assessment principles and methods.
• Knowledge of SAP is preferred.
• Positive & proactive attitude.

• 5 days, MNC, Boon Lay, transport provided (2 ways)
• Salary: $4000 - $4800, 1mth AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year to 2 years of relevant experience
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

• 5 days, MNC, Boon Lay, transport provided (2 ways)
• Salary: $4000 - $4800, 1mth AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year to 2 years of relevant experience
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186

Responsibilities:

• Create mixed-signal verification and coverage strategies tailored to complex IC designs, aligning with design architecture and specifications.
• Construct verification testbenches using standard verification languages and methodologies, ensuring comprehensive coverage.
• Author and execute test cases to validate mixed-signal circuits, focusing on functionality, performance, and reliability.
• Analyze verification results meticulously, offering constructive feedback to design teams for improvements.
• Collaborate closely with design and layout teams to pinpoint and resolve any design issues encountered during verification.
• Innovate and refine verification methodologies, tools, and techniques to enhance scalability and portability.
• Provide final sign-off on mixed-signal designs, ensuring readiness for tape-out.

Requirements:

• Bachelor’s degree in electrical & electronic or equivalents and with minimum 7 years of working experience.
• Proficient in analog and mixed-signal circuit design and verification principles.
• Capability to formulate test plans, deliver presentations on findings, and communicate effectively with cross-functional teams.
• Familiarity with verification methodologies and tools including simulators, waveform viewers, automated execution, simulation time optimization, and coverage analysis.
• Proficient in programming abilities, capable of crafting efficient scripts or programs in languages such as Perl, Python, and/or C.

__________________________________________________

HOW TO APPLY :

Interested candidates, please submit your resume by clicking on “Quick Apply” or contact [email protected] for more details.

Please provide following information in the resume for immediate processing

1) Reasons for leaving current and/or last employment

2) Last drawn and/or current salary

3) Expected salary

4) Date of availability and/or Notice Period

All applications will be treated in strictest confidence and only shortlisted candidates will be notified

Wee Wai Dan

EA License No : 03C5391

EA Reg No : R22109628

Job Responsibilities:

• Support continuous improvement efforts in QMS.
• Support in root cause analysis and implementation of corrective/ preventive actions for process related concerns.
• Analyze and provide timely respond to customer complaints.
• Interface with Customer and Operations to ensure new product transfer to manufacturing are in accordance with approved requirements.
• Prepare Quality performance metrics and reports.

Requirements:

• Diploma in Mechanical Engineering, Quality, or equivalent.
• Minimum 2 years work experience in Quality Management System in manufacturing environment.
• Good knowledge of ISO 9001. Knowledge of API Q1 is preferred.
• Strong command of English language, both oral & writing.
• Knowledge of metal working industry is preferred.
• Knowledge of risk assessment principles and methods.
• Knowledge of SAP is preferred.
• Positive & proactive attitude.

• 5 days, MNC, Boon Lay, transport provided (2 ways)
• Salary: $4000 - $4800, 1mth AWS, performance bonus
• Medical/dental benefits

Responsibilities:

• Review engineering drawings and execute experiments, calculations, and statistical controls for new products/processes.
• Drive engineering activities to enhance manufacturing and supply chain operations.
• Ensure manufacturing processes meet quality, cost, and delivery targets.
• Troubleshoot and redesign production processes for cleanroom and non-cleanroom operations.
• Support qualification and setup of new materials, recipes, and system applications.
• Identify and implement process improvements for future requirements.
• Conduct equipment and material validations (IQ, OQ, PQ methodology).
• Source suppliers, qualify specifications, and estimate costs for projects.
• Support new business projects and implement technologies.
• Train and build technical capabilities within the department.

Requirements:

• Diploma or Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Electrical Engineering, Materials Science, or Process Engineering.
• Minimum 1 year to 2 years of relevant experience
• Knowledge of manufacturing systems (e.g., CAD, ERP) and workflow simulation tools.
• Experience with statistical process control and applying ISO standards (ISO13485, GDPMS).
• Understanding of end-to-end processes in manufacturing and supply chain engineering.
• Strong project management and presentation skills.
• Self-motivated, resourceful, and analytical.

Interested applicants, please send your resume to [email protected]

MOM License 16C7883 | Reg No. R1109186