Total 340 engineering job vacancies in hong kong causeway bay

Job Description

The Engineer will be responsible for driving electro-mechanical product development in compliance with ISO 13485 standards across multiple levels, from component to product. The role includes planning and monitoring New Product Introduction (NPI) programs, managing engineering changes, and maintaining documentation, including Design History Files. The position requires close coordination with both internal and external suppliers, adhering to Quality Management System and regulatory standards.

Key Skills and Experience:

• Bachelor degree in Mechanical Engineering with 3+ years in electro-mechanical systems.
• Technical proficiency in optimizing designs for mechanical and electro-mechanical systems.
• Solid understanding of metal and plastic manufacturing processes for product design.
• Proficiency in 3D CAD software (e.g., SolidWorks), including GD&T and kinematic calculations.

Attributes:

• Analytical and detail-oriented, with a collaborative and hands-on approach.

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

What you will do

• CPU Testing Binning Strategy & Realization
• Production volume ramp-up support which includes fast-turn-around test program delivery/optimization and cost reduction through yield optimization and test time reduction
• Cross collaboration with Design/DFT/DV/TE team to enable efficient test-case simulation and (mini)ATE bring-up

What you will bring

• Bachelor/Masters Degree in Electrical/Computer Engineering
• Min 7 years of CPU related Chip Mass Production Experience is a MUST.
• Software+Hardware Testing PCB built
• Familiarity with CPU Testing (ARM/MIPS/SNPS etc)
• Cross-site working experience is a MUST.
• Experience with Foundry, Post-Silicon, FPGA, DVT, SLT debug is a PLUS.
• Smart-Phone Adv. ASIC consumer product HW design experience is a PLUS.

Location: One North, Singapore

About the company

MediaTek Incorporated (TWSE: 2454) is the world’s 5th largest global fabless semiconductor company. Joining MediaTek means becoming part of a team that powers over 2 billion ICs worldwide, enriching and enhancing everyday life. Our chipsets are integral to a wide range of products, from smartphones, mobile devices to home and IoT devices, in entertainment and multimedia products, and provide connectivity and communication solutions that keep people connected with friends and their families with access to online resources. Working at MediaTek offers you the opportunity to contribute to the world through the devices we use in our daily lives – it’s more than just a job, it’s a chance to make a meaningful impact.

• Inspecting contractors operations to determine compliance with contract requirements.
• Establishing and maintaining horizontal and vertical control for construction contracts.
• Meeting with other district elements to assist in recommending solutions to engineering and management problems relating to acquisition of real estate rights-of-way, pipeline easements, setting soil boring locations.
• Utilize basic and advanced skills for use of land and hydrographic survey software and data collection hardware for the purpose of obtaining field data and producing work in final form.
• Using Global Positioning System (GPS) hardware and software to perform static and RTK surveys and when possible to layout and control construction, provide reference points, and lines for subsequent related work.
• Assisting project engineers in developing scopes of work, preparing Government estimates and technical specifications, and supervision and administration of contract survey work.

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

· Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

· Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

· Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

· Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

· Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

· Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

· Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

Requirements:

· Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

· Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

· Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

· Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

· Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

· Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

· Excellent written and verbal communication skills.

· Strong analytical skills, attention to detail, and problem-solving abilities.

· Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

· An inquisitive mindset, coupled with a desire for continuous learning and growth.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Genetic engineering of plants promises to provide sustainable solutions for food security and climate change mitigation. Current genetic engineering technologies using Agrobacterium, viruses and nanoparticles through syringe injection and biolistic bombardment suffer from limitations including narrow ranges of host species, low transformation efficiencies, strict restrictions on cargo types and sizes, tissue damage and unwanted transgene integration into plant genome. A major challenge to deliver exogenous material into plants is the cell wall barrier. The Tay lab will be hiring a research fellow to develop nanomaterials for plant genetic engineering, with the goal to produce plants with enhanced traits such as higher yield and weather-resistant.

Conducting experiments, writing manuscripts

Qualifications

PhD in materials engineering or plant biology; 2 first author papers; ideally, experience in in vivo and in vitro plant work

Mission statement:

Provide strategic direction, leadership, management and coordination of the engineering function across business units. Drive the performance of the engineering, function performance to ensure that all engineering activities meet the required safety, integrity, financial and contractual requirements. Initiate and drive continuous improvement activities across the function.

Your responsibilities:

• You will act as member of the business unit management team providing strategic and operational guidance to support ongoing development of the business, serve as an escalation point for individual and systemic engineering issues within the organization.
• You will manage the customer relationships at senior level, develop long-term relationship with key customers, work with the customer to shape and deliver solutions – seek feedback and innovate with the customer to drive and deliver improvement, work with business development to target new, present new technology and innovation at conferences, client events and oversee contractual work within own business units, conduct regular progress reviews, identify and manage contract risks.
• You will create and manage implementation of long-term strategic plans which define business strategy resource requirements, oversee planning and control process in the engineering teams, conduct regular reviews to ensure the execution of tenders/projects according to agreed targets in terms of schedule, quality, cost and customer satisfaction, monitor quality metrics, identify opportunities for improvement and oversee improvement activities. You will create and implement strategies to ensure that business risks are identified and managed, and business opportunities are exploited as a part of business planning, collaborate with the supply chain function to develop strategic partnerships with key suppliers of services and equipment needed for engineering.
• You will guide the business in building engineering/operational capability through training, mentoring and shadowing programs, support business unit in establishing and deploying required frameworks/processes, conduct and follows-up certification process jointly with business, ensure processes are in place to capture and share best practices and operational experiences, support global business unit strategy with defining concepts for business unit-specific Occupational Health and Safety (OHS), compliance and supply chain management and developing processes and tools and conduct management review to guide operation of continuous improvement activities.
• You will ensure (with HR support) that the area of responsibility is properly organized, staffed, skilled and directed, guide, motivate, coach and develop direct and indirect subordinates, within HR polices, contribute to management review of the business unit's financial, performance, along with other business unit management team members., formulate financial plans and budget estimate for the unit/business area, oversee adherence to these plan and estimate.
• Living Hitachi Energy's core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background:

• Minimum Bachelor of Engineering with a good experience in power industries and substation business.
• Master of Engineering will be added advantage.
• 10 to15 years Engineering experience in design and engineering of Substation, working experience in global organization.
• Good knowledge of engineering tools and process.
• Should have handled cross country units and experience in implementation of new process and initiatives.
• Proficiency in English Communication.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

1. Conduct lab-based research and perform experiments.
2. Collaborate with colleagues both inside/outside the group.
3. Assist in daily lab management duties.
4. Present and report research results and publish scientific results in peer-reviewed journals in a timely manner.
5. Ensure compliance with environment, safety, health and quality program requirements from all levels (e.g. university, faculty of engineering and the department of MSE).
6. Translation and commercialization. Training will be provided

Job Requirements

A bachelor and a master degree in Chemical Engineering, Material Engineering or related field is required. The candidate should have 2-3 years of experiences in doing research.

• Work under the general supervision of the Engineer who makes assignments in terms of objectives, priorities, and possible course of action.
• Perform recurring tasks independently, applying knowledge gained through experience in the practical applications of the methods and techniques of civil engineering and construction management.
• Exercise independent judgment and decision making in construction quality assurance (QA) determinations.
• Perform nonprofessional civil engineering work involved in the maintenance, repair, alteration, and construction of Cape Cod Canal project buildings, structures, and facilities.
• Plan, develop, and coordinate the execution of a wide variety of maintenance and repair projects which include certain new features and nonstandard design characteristics.
• Perform complete engineering projects of relatively limited scope, and portions of larger, more diverse projects throughout the entire geographic area.

Responsibilities:

• Engage and manage various stakeholders (internal and external) expectations and communication.
• Collaborate with functional teams to conduct cleanroom/facility planning and layout
• Carry out physical area/ floor marking, coordinate with functional teams in tool purchase, movement (in/out), tool relocation plan, project timeline and capacity update.
• Perform risk analysis of various project options and outcomes
• Maintain and validate capacity/capital/space models to enable accurate assessment of wafer fabrication and operations loading needs
• Support operational efficiency improvement efforts (cycle time, OEE improvement, capacity optimization, space optimization)

Requirements:

• Degree in Engineering (Industrial & Systems Engineering), Mechanical, or relevant field;
• Proficient in AutoCAD 2D/3D and Simulation Tool preferred
• Proficient with Microsoft Words, Excel and PowerPoint proficiency
• Preferably to have industrial engineering experience in a semiconductor/ manufacturing environment
• Ability to work independently and team player to deliver in fast paced and collaborative environment

Responsibilities:

• Engage and manage various stakeholders (internal and external) expectations and communication.
• Collaborate with functional teams to conduct cleanroom/facility planning and layout
• Carry out physical area/ floor marking, coordinate with functional teams in tool purchase, movement (in/out), tool relocation plan, project timeline and capacity update.
• Perform risk analysis of various project options and outcomes
• Maintain and validate capacity/capital/space models to enable accurate assessment of wafer fabrication and operations loading needs
• Support operational efficiency improvement efforts (cycle time, OEE improvement, capacity optimization, space optimization)

Requirements:

• Degree in Engineering (Industrial & Systems Engineering), Mechanical, or relevant field;
• Proficient in AutoCAD 2D/3D and Simulation Tool preferred
• Proficient with Microsoft Words, Excel and PowerPoint proficiency
• Preferably to have industrial engineering experience in a semiconductor/ manufacturing environment
• Ability to work independently and team player to deliver in fast paced and collaborative environment

About Cynapse

Cynapse is an awarded AI Software Product company specializing in Enterprise-grade Vision AI in highly challenging environments. cynapse’s software platform is leveraging cutting-edge cloud/on-premise/edge platforms, advanced computer vision algorithms, advanced ML concepts & models, and more.

The company Headquarter is located in Singapore (one-north Area)

Job Description

Cynapse is looking for a talented and highly motivated Computer Vision & Machine Learning Developer to join our AI team that delivers a challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of design and coding, working in a cutting-edge, dynamic and professionally challenging environment.

Responsibilities

• Assist in the development and training of computer vision models using state-of-the-art machine learning techniques.
• Work with large datasets for model training.
• Collaborate with engineers to implement and fine-tune models, focusing on performance, accuracy, and scalability.
• Contribute to the deployment and monitoring of trained models in production environments, ensuring robustness and reliability.
• Participate in the development and maintenance of MLOps pipelines, automating the process of model training, deployment, and monitoring.
• Conduct research to explore and implement the latest computer vision and MLOps techniques and technologies.
• Maintain and update model pipelines, ensuring they meet project requirements and deadlines.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Artificial intelligence, Mathematic, Electrical Engineering, or a related field.
• Solid understanding of machine learning concepts, particularly neural networks and their applications in computer vision (e.g., convolutional neural networks, transfer learning, and deep learning architectures).
• Proficient in one or more popular machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experienced with computer vision libraries like OpenCV, scikit-image, or equivalent.
• Strong programming skills in Python, with expertise in using tools like NumPy, Pandas, and Matplotlib for data manipulation and visualization.
• Knowledge of data preprocessing techniques, including image augmentation, normalization, and resizing.
• Basic understanding of MLOps practices, including version control, continuous integration, and continuous deployment (CI/CD).
• Strong analytical and problem-solving skills with attention to detail.
• Good communication skills, both written and verbal, with the ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new tools and technologies in the rapidly evolving fields of machine learning, computer vision, and MLOps.
• (Optional) Experience with cloud platforms like AWS, GCP, or Azure is a plus.
• (Optional) Knowledge of Docker or other containerization tools for model deployment.
• (Optional) Familiarity with MLOps tools like MLflow, Kubeflow, or similar is a plus.

Personal Competencies

• Innovative, motivated and a quick learner
• Ability to work well in a small team and take end-to-end ownership of problems and their resolution
• Attention to detail, curiosity, and passion for technology

Benefits

• Competitive base salary and a generous stock option package
• Unique opportunity to work with a talented global team on cutting edge technologies
• informal and exciting work environment with flexible hours

Due to the nature of the role, the position is considered for candidates that are only based in Singapore

Job Type: Full-time

Pay: $4,500.00 - $7,000.00 per month

Benefits:

• Health insurance

Schedule:

• Monday to Friday

Supplemental Pay:

• 13th month salary

Work Location: In person

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Coastal Protection and Flood Resilience Institute (CFI) Singapore at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will conduct research and technology scan on current and future trends in coastal protection and flood management solutions, including increasing use of AI in computational fluid dynamics, extreme event prediction and condition monitoring. He/she will also conduct research in some of the abovementioned topics and write research proposals to secure grants for CFI.

Job Requirements

• Possess a recognised PhD degree in civil engineering, mechanical engineering, computer science, or a related discipline
• R&D experience in coastal/offshore/structural engineering and/or AI and machine learning.
• Strong writing and communication skills.
• Ability to work independently and in a team .
• Open to fixed-term contract.

Responsibilities

• Plan, implement and organize customer visit/meeting to close new sales to achieve sales target
• Develop and maintain strong business relationship with existing/new customers
• Develop sales and marketing strategies with action plan to penetrate into new markets
• Source and develop new customer accounts and expand business opportunities
• Analyze market trends, competitor offerings and keep abreast of latest market development
• Preparation of proposals, tenders and quotations based on project requirements and close monitoring of project execution to optimize profitability and maximize customer satisfaction.
• Able to market company portfolio to potential customers
• Able to identify, plan and execute new projects
• Able to interact well with all levels of our customer’s organization structure to ensure projects are being carried out on schedule
• Achieve sales revenue, profitability and sales growth targets set by the Management
• Perform any other ad hoc duties as assigned

Requirements

• Degree/Diploma in Engineering or equivalent.
• Minimum 3-5 years of M&E working experience in building/construction industry
• Must be bilingual abilities with strong skills in multiple languages to liaise with relevant counterparts
• Excellent written and verbal communication skills, with a high level of attention to detail.
• Strong interpersonal skills, ability to develop relationships and communicate with all levels of management.
• Good in documentation, presentation, coordination, and analytical skills
• Proficient in Microsoft Office applications
• Possess own vehicle would be an added advantage
• Willing to travel to various job sites

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Tenure-track faculty positions in Geotechnical Engineering, on areas related to Urban Sustainable Development and Climate Change. Faculty members will be expected to teach existing undergraduate and graduate courses as part of the Civil and Environmental Engineering curricula, as well as develop new and innovative courses related to geotechnical engineering and sustainability.

Job Requirements

The candidate should hold a doctorate in civil engineering or a closely related discipline, preferably with background and experience in, but not limited to, one or more of the following geotechnical domain expertise: underground space, land creation, sustainable geo-materials and coastal resilience. Additional skills and knowledge in centrifuge modelling, data analytics and machine learning will be highly advantageous. The ability to develop and maintain an active and externally funded research programme within his/her area of expertise will be an added advantage.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Bachelor Degree in Engineering or relevant field
• Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing
• Demonstrating as a fast learner of conducting literature study and literature summary
• Experiences of handling big data via R, Python, Matlab, etc.
• Experience with UNIX-based operating systems and bash script or similar
• Strong interests in applying machine learning models and applications to atmospheric research
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project