Job Description

• Follow SOP and carry out CAS per specification.
• Execute scheduled / special preventive maintenance (PM) as per PM schedule and
• specifications.
• Troubleshoot basic equipment related issues and minimize equipment downtime.
• Maintain good housekeeping in the production floor / sub FAB / Office, and maintenance
• support areas.
• Ensure and follow good safety practice and also safe custody of tools, equipment and
• other properties belonging to the Module.
• Know how to use SPACE to monitor and analyze SPC charts. Understand all the PR rules
• and follow CAS correctly.
• Know how to use measurement instruments effectively in data collection. Able to create
• metrology job files correctly (equipment list to be defined by the Supervisors.)
• Perform shift duties (12-hours shift) to support the running of production in the Module and
• ensure equipment readiness and worthiness for production.
• Assist Engineer in the installation and hook up of new or upgrading equipment.
• Assist in implementing equipment improvement projects.
• Able to train operators and trainers in new operational procedures.
• Execute good maintenance of support tools.
• Assist new Technician/Associate Engineers on their On-The-Job-Training (OJT) by acting
• as their buddy.
• Provide proper and accurate passed down of line issues and documentation (fill up and file
• the checklists).
• Wafer scrap reduction awareness.
• Participate in CIP programs to improve productivity and quality of equipment/process.
• Coordinate with operators to ensure efficiency of work to meet Mfg and Module objectives

Job Requirements:

• Diploma Electrical / Electronics / Mechanical / Mechatronics / Microelectronics
• Experience in CMP equipment tools
• Able to perform 12-hour rotating shift
• An excellent team player with good interpersonal skill
• Strong logical thinking capability and good analytical skill
• Highly committed with good ownership and accountability
• Passion for the semiconductor / manufacturing industry
• Able to adapt in a fast pace environment and work under pressure
• Proficient in MS Office Applications

Fabrica AI Full time Electrical Engineer - Invention of Automatic Tile Grouting Robots

Fabrica AI is reinventing how robots are developed. Currently novel robots take 5-20 years. We are building a design automation platform to bring it down to a month, and have already demonstrated significant progress by developing tile grouting robots in record time. Robotics simulation and reinforcement learning has been advancing a lot making it 1000x cheaper to train robots compared to 5 years ago, and as Jensen Huang said at Nvidia GTC 2024, "the ChatGPT moment for robotics may be just around the corner." A couple other companies are building on the same paradigm shift but we are the only ones using it to automate hardware design, not just software.

Building robots and a design automation platform together brings great synergy - the platform helps us develop robots faster than anyone else and the robots allow us to gather data and do experiments at scale. Data gathering can be done through partnerships with other robotics companies, but doing experiments is crucial for grounding the platform in reality and ensuring its usefulness. The grouting robots are already deploying daily at construction sites and bringing value to clients. We are currently negotiating sales worth around 500k USD. With manufacturing cost multiple times lower than companies using a traditional robotic arm, our robots have an ROI in weeks. Our robot is also small and simple to use, operating from a single button without the need to upload floorplans or do any complex setup. Soon we would be expanding into other simple and valuable robots for the construction industry.

We’ve raised over 2.5m USD from Hoxton Ventures, Credo Ventures, our Professor from Cambridge University, Woh Hup, and the owner of BHCC (listed construction company). We’ve 2500sqft of space in Singapore where we have over 20 team members, and 1200sqft of space in Czechia where we have our software team.

Jakub Suchanek (CEO) has an engineering degree from the University of Cambridge and experience working on self-driving cars at Wayve and machine learning at Granta Innovation and Wacker. He is a worldwide winner of NASA SpaceApps and has won bronze medals in International Olympiads in Informatics and Physics.

Ronald Luc (CTO) earned a degree in Math and Computer Science from Masaryk University, where he was a teaching assistant, and supervised several deep learning theses. He has years of industry experience in both machine learning and self driving cars. With Jakub he won TechFest Munich, one of the EU’s top hackathons; and represented Czechia at the International Olympiad in Informatics.

Keefe Wayne Teo (COO & CFO), a University of Cambridge engineering graduate, served as president of Hackbridge.io, promoting entrepreneurship in tech. He has 100+ citations in research journals and four papers on sustainable energy. He previously worked at Entrepreneur First and has business development experience from other companies.

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Latest Grouting Robot Demo: https://www.youtube.com/watch?v=AVWjmaMuYM0

Fabricator videos

https://www.youtube.com/watch?v=4aoQ4QaEOPQ

https://www.youtube.com/watch?v=xnENP7zWzEM

https://youtu.be/qXpkFeEidac

https://www.youtube.com/watch?v=5SBiEBLMQ9k

Your role would revolve around real-world industry deployments taking us from a TRL of 7 to 9. You may be remunerated with a combination of salary and share options. The following tracks are available:

Core responsibilities:

• PCB, electronics design
  • Working with both hobbyist and industrial microcontrollers, single board computers, motor drivers etc.
  • Integrating motor systems of different types (DC, BLDC, with encoder feedback…), sensor modules etc.
  • PCB design
• Embedded programming

Possible additional responsibilities:

• Testing our robot on construction sites
• Managing external PCB production
• Harness design
• Overseeing a team doing all the above

Requirements:

• Experience with electronics design and embedded software at at least one industrial level project
• Value the direct impact on the product and proximity to clients at a startup and the growth potential of a startup more than having a stable job at a reputable company
• Willing to work without a very well defined job scope and willing to adapt to changes week on week
• Ability to think of metrics to measure progress and deciding based on back on the envelope calculations
• Keenness to do more than is expected, impact driven, past side projects
• Excited about robotics and similar technical areas and exploring them in work and other projects
• Growth mindset driven

Our development process is very iterative and agile. Thus your role/tasks is/are likely to evolve over time. You would play a significant part in deciding how your work would contribute to our overall goals. If you like this process, you’d be a good fit for us.

Check out the link above for more information, and send your CV to [email protected]

Product area

Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.

Job description

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.

You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.

Qualifications

Job responsibilities

• Build and operate Google's network reliably and at scale.
• Primary focus will be delivering Infrastructure capacity for APAC region.
• Responsibilities include design, planning, and installation support for optical transport.
• Beyond day-to-day responsibilities, you'll also work with more senior engineers to develop creative approaches for keeping operational costs low through tooling and process improvements.

Minimum qualifications

• Bachelor's degree in Network Engineering or Telecom Engineering, a related technical field, or equivalent practical experience.
• 3 years of experience in Dense Wavelength Division Multiplexing (DWDM) or Transmission Control Protocol/Internet Protocol (TCP/IP) or system design operations methodology.

Preferred qualifications

• Experience in Troubleshooting of DWDM systems and topology and architecture.
• Knowledge of fiber types and their application; physical fiber characteristics; and standard testing tools Optical Spectrum Analyzer (OSA), Bit Error Rate Test (BERT), Optical Time Domain Reflectometer (OTDR).
• Understanding of networking and fundamentals of network troubleshooting at Layer1.
• Understanding of network transport design, equipment and infrastructure.
• Excellent written and verbal communication skills.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description

• Undertake detailed design in one or more of the following field of expertise: Civil (drainage, sewage), Bridge/Tunnel, Underground Excavation and Tunnelling works
• Execution of projects and liaison with the Client, Client’s Consultants, Contractor, and authorities to provide technical support for design
• Checker to obtain approval of design and drawings
• Analysis on structural components using various engineering software

Requirements

• Degree in Civil and Structural Engineering or its equivalent
• Prefer degree recognized by the Professional Engineers Board of Singapore for Associate level
• Minimum 5 years relevant experience
• Good exposure in the analysis and design of geotechnical works, concrete structures, steel structures, civil works, or soil-structure interactions
• Good knowledge of the various engineering design software and analytical tools
• Applicant who has lesser experience will consider for Engineer role

COMPANY

At Peptobiotics we have built a new biotechnology product to replace the billions of dollars of antibiotics currently used in agriculture - enabling a productive, sustainable food system free from disease, and helping prevent the superbug crisis. We use genetically modified microbes to produce novel antimicrobial peptides. Our strain and bioprocess teams work together designing our product around straightforward scale-up and profitable unit economics.

OBJECTIVES

• Operation of bioreactor systems for submerged fermentation, downstream processing and sample analysis.
• Liaise with Chinese contract manufacturers for production at ~80kL scale and assist them in troubleshooting when required.
• Drive process optimisation by overseeing rigorous data collection, recording, and analysis. Use effect size analysis, DoE, etc to accelerate yield improvements and scale up.
• Preparation of SOPs for fermentation and downstream processing.
• Work with other team members to align molecular, bioproduction and veterinary research.
• Training and mentorship of junior team members.

REQUIREMENTS

ATTRIBUTES

• Experience with benchtop microbial bioreactor systems.
• Experience with yeast secreted protein production fermentation optimization preferred.
• PhD or Masters with work experience.
• Ideally has some experience or familiarity with downstream processing and analytical methods.
• Ideally has some experience or familiarity with industrial-scale fermentation.
• English and Chinese language working fluency are both required.
• Good communicator that enjoys working with and supporting others.
• Driven and takes initiative.
• Interested in entrepreneurship, biomanufacturing, synthetic biology, sustainability/agriculture,aquaculture, technology commercialisation and science with real world impact.

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 Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on Shell research project entitled “Integrated Catalytic Plasma and Membrane Design for Low-Temperature High-Value Olefins Production from Light Hydrocarbons”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.
• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Responsibilities:

• Handles the technical aspects of patch deployment and system updates.
• Ensures that patches are tested, scheduled, and deployed with minimal disruption to system availability.
• Responsible for testing patches in a controlled environment before deploying them to production systems.
• Verify that patches do not introduce new issues or conflicts.
• Regular scanning and analysis.
• Scheduled and controlled patch deployment.
• Perform risk-based prioritization.
• Rigorous testing in a controlled environment.
• Collaborate with customer’s IT team for user acceptance testing.
• Emergency response for critical vulnerabilities.
• Understand the customer’s infrastructure and become familiar with the Customer’s infrastructure environment and support processes and procedures to ensure supporting customer with proper SLAs.
• Troubleshoot production issues to fix any user related issues and work with principal vendors and customer to provide the resolution within the proposed timelines.
• Be available for customers’ questions in assisting their needs to support any issues and monitor customer’s environment leveraging appropriate monitoring tools as well for special scheduled activities performed during non-business hours or public holidays due to system upgrades.

The Individual and their Experience:

• Linux OS patching
• MySQL system and patching knowledge
• MSSQL system and patching knowledge
• Maria DB system and patching knowledge
• Eagerness and willingness to pick up & adapt new skills and automation.

Our customers span across industries such as financial services, TMT (Telecommunications, Media and Technology), Education, Healthcare, Retail, Government, Manufacturing and Professional services. Our focus is to engage in the dynamics of our customers’ vertical markets and apply the skills of our employees in modernizing key digital pillars, Data centres and Cloud services, Security and Network Infrastructure, Workspace communications and collaboration, Data and information strategies, and IT operations modernization.

Logicalis Group has an annualized revenue of over $1.7 billion, from operations in Europe, North America, Latin America, Asia Pacific and Africa. It is a division of Datatec Limited, listed on the Johannesburg Stock Exchange, with revenues of over $4 billion.

Interested applicants please submit your application with your expected salary and notice period to be considered for the role.

We regret that only shortlisted candidates will be notified.

As part of any recruitment process, we collect and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use that data and to meeting our data protection obligations. By applying to this post and sending us your resume, you agree to the collection, use and/or disclosure of your personal data in the manner as set out in our Data Protection Notice for Job Applicants which can be found

Logicalis is committed to protecting your privacy.

Click below to view the data protection notice.

https://ap.logicalis.com/sites/default/files/2022-10/PIMS-A7.3-01%20Attachment%20I%20DP%20Notice%20for%20Job%20Applicants_updated9sept22.pdf.

Responsibilities

Operational support and efficiency

• Perform scheduled preventive maintenance (PM) and troubleshoot equipment-related problems to minimize equipment downtime
• Resolve equipment issues and implement corrective and preventive actions
• Always aim to maximize uptime of equipment to sustain equipment performance
• Prepare and execute new equipment start-up by working with cross functional team
• Coordinate with process, integration and manufacturing engineers to ensure work is carried out efficiently to meet module objectives.
• Provide leadership in giving direction and systematic guidance to Equipment Engineer / Technologists/Technicians.

Record and reports

• Review, validate and analyze given reports
• Ensure staff's on-time submission and accuracy on the tool checklist or report

Documentation & Standard Operating Procedures

• Establish and implement all equipment specification, troubleshooting procedures, maintenance procedures, safety related documents and ensure compliance with corporate requirements and procedures
• Documentation of Corrective Action and Best-Known Methods for equipment to allow more efficient troubleshooting
• Lead and work with the supplier and cross function groups on new tool start up with necessary documentation, gantt chart, site preparation, facilities preparation, acceptance preparation, automation preparation and production readiness .

Cost efficiency

• Work with equipment vendors and spare parts suppliers to improve and develop new methods to achieve improvement in maintaining the tools
• Expected to involve actively in yield improvement, cost reduction, 2nd source suppliers and parts sourcing/testing, optimisation of new machine qualification release plan and cycle time reduction projects

Equipment improvement

• Participate in global key equipment exchange to improve and align strategy and plans
• UPkeep, monitor and control equipment performance indices (MTBF, MTTR, UPtime% , Errors Pareto list, WSPC and etc)
• Maintain optimum utilization of equipment and resources and constantly review methods of OEE management to reduce tool downtime and increase equipment throughput
• Develop and implement improvement/safety program of preventive maintenance task of machines
• Lead Technicians to participate in continuous improvement projects

Training and development

• Train/mentor Technicians and Engineers through OJT and continually upgrade their technical skills to cope with technological changes

Quality

• Participate in QIT programs to optimize equipment utilization and cost of maintenance
• Analyze trend, propose areas of quality improvement; Coordinate evaluation and implementation with relevant parties
• Lead or participate in quality related exchange to enhance improvement and preventions

Safety

• Ensure good housekeeping and safety practices in the Fab
• Work with HSE team to establish ,maintain tool and chemical safety related documents

Requirements

• Possess at least a Bachelor’s degree in engineering (Material Science, Chemical Engineering, Electronic/Electrical Engineering, Physis) with min 3 years experience as tool owner
• Preferable hands on experiences with knowledge on

1. Vapor phase decomposition- inductively coupled plasma-mass spectrometry(VPD -ICPMS)
2. Film measurement system
3. Visual and Sorter systems
4. Sem Vision
5. Bagging tool and Box cleaner tools
6. Automation material systems

• Skilled in JMP, Python and driven on root cause analysis techniques to aid on troubleshoot complex problems and provide root-cause fixes to recover/improve the tool and/or process
• A critical thinker team player who loves challenges, thrive on complex issues, multitasker and possess passion for learning
• Have good communication skills and time management discipline.

Product area

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more).

Job description

gTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.

Additional job description

In this role, you will be responsible for the technical relationship of our Distribution partners. You will collaborate with teams in Engineering, Business, and Product Management to use technologies for our internal or external clients/partners. From concept design and testing to data analysis and support, you will own the technical execution and work with business operations to distribute products such as Chrome, Lens, Android apps, and more. You will balance business and partner needs with technical constraints, develop innovative, solutions, and serve as a partner and consultant. You will also build tools and automate processes, oversee the technical execution and business operations of our products, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Work with our Product, Engineering, and Partnership teams. Develop solutions, provide consulting services to our partners, build relationships, and know the partner's needs.
• Help partners in their day-to-day challenges by being the subject matter expert, delivering solutions, and troubleshooting their technical issues.
• Propose, design, create, and present proof-of-concept prototypes and demos to a variety of audiences, from engineers to marketing professionals.
• Perform implementation reviews. Advocate for new product features, and provide partner feedback to internal cross-functional teams including Product Management and Engineering.
• Deliver business intelligence. Use internal and external data sources to provide data insights to support decision making.

Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
• 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
• Experience in technical troubleshooting, and managing internal/external partners or customers.

Preferred qualifications

• Master’s degree in Engineering, Computer Science, Business, or a related field.
• 5 years of experience in business intelligence, data analytics, or statistics.
• 5 years of experience working with systems (e.g. Linux, Unix).
• Excellent project management skills and attention to detail.
• Excellent problem-solving and troubleshooting skills.
• Ability to present to the technical level audience.

We're seeking a skilled Engineer, Quality Assurance to join our team in Singapore. Reporting to the Engineering Manager, you'll play a critical role in ensuring the quality assurance aspects of our technical areas.

Key Responsibilities

• Participate in our shift-left testing process and entire Software Testing Life Cycle (STLC) to ensure high-quality products.
• Collaborate with Product Managers to define, test, and validate product requirements.
• Design, execute, and automate tests for web applications and backend APIs, ensuring comprehensive coverage.
• Produce detailed test reports and serve as the sign-off authority for feature releases.
• Work closely with Development teams to identify and resolve issues, ensuring seamless collaboration.
• Contribute to the evaluation and adoption of testing automation frameworks.
• Mentor junior QA engineers, sharing expertise and promoting growth.

Essential Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• Excellent communication skills, with the ability to explain technical concepts to diverse audiences.
• 2-5 years of experience in web application testing and automation.
• Strong foundation in Software Engineering concepts and STLC life cycle.
• Ability to write test plans and test strategy documents.
• Good knowledge of API and Web testing, Networking, and Operating System concepts.
• Strong troubleshooting, debugging, and analytical skills.

Preferred Qualifications

• Experience with testing automation tools.
• Background working in product companies.

We regret to share that only shortlisted candidates will be notified.

www.dadaconsultants.com

Data provided is for recruitment purposes only

EA Registration Number: R21102607

Business Registration Number: 201735941W

Licence Number: 18S9037

As the Research Engineer (Equipment/Operations), you are directly involved in tool installation activities for semiconductor process tools. You would need to work proactively to coordinate with the contractor on the ground for the execution and take corrective and preventive actions of lessons learned, due diligently to prevent reoccurrence. You are responsible for performing utilities turn-on after installation is completed. You must perform the activities per ASTAR site procedure and safety policies to ensure all tool-install-related activities are completed, meeting safety, quality, schedule and budget requirements. You will also be required to perform other activities such as operations for the different semiconductor modules (Diffusion, Litho, Dry/Wet Etch, Thin Film, Implant, etc).

Responsibilities:

• Coordinate with all tool-install base contractors to execute equipment hookup for new tools, to meet the high-quality standards, dynamic schedule, and forecasted budget.
• Coordinate with the Project owner (NGTC/APM) to facilitate utility release as per the planned schedule and update tool release status timely
• Follow all safety and environmental procedures to ensure compliance with EHS-related regulations, risk assessment, safe work procedures, and permit-to-work system.
• Play an active role in safety, actively participating in safety discussions and safe work practices.
• Establish regular area walks to identify opportunities for improved safety, cleanliness, housekeeping and , efficiency
• Establish regular, working interaction with peers as well as vendors in tool installation & facilitation, communicating clearly and respectfully all relevant information.
• Keep the reporting officer informed regarding the progress of assigned work and any abnormalities observed in your area.
• Demonstrate ability to understand drawing and highlighting discrepancies
• Follow area-specific procedures and documentation
• Prioritize work tasks to meet schedule and expectations, minimum guidance
• Perform tool tool-relativities and cleanroom systems troubleshooting during the hookup phase
• To perform equipment trouble-shooting of the equipments in NGTC when the need arises
• To perform utility-on after installation completion and to work closely with LCAM for complete closure
• To perform tests balancing of exhaust for new tools whenever necessary
• To perform measures for tool consumption during the hookup phase and to work closely with LCAM
• Use methods to organize, calculate, and display data accurately for utility and flowrate measurement
• Perform site activities in accordance to the Discipline

Requirements:

• Degree/Diploma in Mechanical/Electrical/Chemical engineering or equivalent
• Semiconductor experience (Equipment & Process)
• Facilities field or Wafer Fab Manufacturing equipment background will be an advantage.
• AutoCAD

About Us:

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!

Role Summary:

You will be responsible for ensuring quality control in semiconductor manufacturing processes, managing engineering changes, resolving production issues, and driving continuous improvement.

Key Responsibilities :

• Develop, implement, and maintain quality control measures for semiconductor manufacturing processes.
• Monitor production data to identify trends and initiate corrective actions to improve yield and reliability.
• Review and validate quality systems and specifications for new equipment and processes.
• Ensure smooth integration of new technologies into the production line with a focus on maintaining quality standards.
• Manage quality control for engineering changes in wafer fabrication, including reviewing change requests, conducting risk assessments, and ensuring compliance with quality standards.
• Oversee the quality of incoming masks through inspections and audits.
• Collaborate with mask suppliers to identify quality issues, implement corrective actions, and drive continuous improvement initiatives.
• Lead the response to major abnormal events in the wafer fab, including root cause analysis and corrective actions.
• Manage RMAs and work with customer quality teams to resolve issues and improve customer satisfaction.

Education Qualification & Essential Experiences:

• Education: Bachelor's degree or higher in Electronics, Physics, Materials Science, or other related engineering fields.
• At least 5 years of relevant work experience.

Personal Attributes:

• May need to travel to Taiwan for a training period lasting 6 to 9 months.
• Excellent coordination and communication skills, with the ability to work independently and manage multiple tasks effectively in a fast-paced environment.
• Able to be reliable and accountable in all tasks and responsibilities.
• Have the drive to achieve goals and complete tasks independently.
• Proficient in effectively conveying information through both written and verbal communication.

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

Job Responsibilities:

• Responsible for the architecture design and construction of the backend for social products and participating in technical planning.
• Responsible for the design of system software architecture, system modules, key components, and interfaces.
• Participate in writing core code, conduct project code reviews, continuously optimize code, and assist in resolving complex bugs.
• Adjust algorithm configurations in real-time based on business requirements.
• Participate in technical architecture reviews, ensuring high-quality technical designs.
• Guide, coordinate, and resolve technical issues that arise during the development process.

Job Requirements:

• Bachelor’s degree or above, majors in Computer Science, Software Engineering, or related fields.
• Minimum 5 years of experience in internet research and development, with experience in designing large-scale application systems. Experience in social product development is preferred.
• Proficient in microservices architecture and distributed architecture design, with experience in system development and optimization for high traffic, high availability, high fault tolerance, and high-load environments.
• Solid backend development skills, proficient in Java, with in-depth understanding and practical experience in data handling, performance optimization, concurrency, online system maintenance, and horizontal scaling.
• Familiar with Spring Cloud, Zookeeper, Redis, Kafka, Elasticsearch, and underlying architectures, including principles, cluster deployment, parameter optimization, and secondary development capabilities.
• Familiarity with recommendation technologies, algorithm engineering, and real-time estimation techniques is a plus.
• Strong communication, team collaboration, and project management skills, with the ability to work under pressure.
• A foundation in data analysis and a willingness to learn deeply, coupled with strong business acumen.
• Fluency in both English and Chinese for professional use.

Job Responsibilities:

• Responsible for the design, deployment, maintenance, and optimization of database systems, including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response speed and stability.
• Plan and expand database capacity to ensure scalability.
• Create and configure cloud servers, networks, storage, and other infrastructure on AWS to ensure a stable and reliable environment.
• Set up and manage monitoring tools to track AWS environment performance and operational status, proactively identifying and resolving potential issues to enhance system performance and reliability.
• Familiar with various AWS services and features, capable of selecting and configuring appropriate services based on business requirements.

Job Requirements:

• Bachelor's degree or higher in Computer Science, Software Engineering, or related fields.
• Minimum 3 years of database management experience, with familiarity with mainstream database systems such as Oracle, MySQL, and SQL Server.
• Proficient in database installation, configuration, maintenance, performance tuning, and troubleshooting.
• Solid knowledge of cloud computing and networking, with expertise in AWS services and architecture; previous experience managing AWS environments is required.
• Strong communication, team collaboration, and project management skills, with the ability to work under pressure.
• A foundation in data analysis and a willingness to learn deeply, coupled with strong business acumen.
• Fluency in both English and Chinese for professional use.

Job Responsibilities:

• Install, configure, troubleshoot, and support servers running on Windows and Linux operating systems.
• Perform routine system maintenance tasks such as patching software, updating firmware, and conducting hardware evaluations/upgrades.
• Manage user access control by setting up accounts, permissions, and ensuring adherence to company policies regarding data security.
• Oversee the administration of internal resources including Active Directory (for Windows) or LDAP (for Linux), file sharing services, and print servers.
• Monitor network traffic/server utilization to identify potential issues before they become critical problems; implement performance tuning strategies when necessary.
• Administer SAN/NAS environments including disk provisioning, LUN management, zoning, fiber channel networking etc.; ensure efficient operation with minimal downtime through proactive monitoring/maintenance practices
• Develop/implement backup recovery plans for critical data stored across various platforms;
• Conduct regular audits/capacity analysis reports in order to plan for future growth needs while optimizing current resource usage.

Job Requirements:

• Bachelor’s degree in Computer Science, Information Systems or related field preferred;
  equivalent work experience may be considered
• Proven track record managing both Windows/Linux server environments
• Experience with virtualization technologies like VMware/Hyper-V is highly desirable
• Knowledgeable about configuring/maintaining enterprise-level storage solutions (SAN/NAS)
• Strong analytical/troubleshooting skills combined with excellent communication abilities
• Ability to document processes/procedures clearly concisely
• Capacity planning expertise allowing for strategic infrastructure scaling based on
  organizational demands

Project Overview

We are seeking a Research Engineer to systematically organize knowledge for a project on “Designing human-AI teams.” The project is part of a five-year research program on "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)."

Successful applicants for this position will have the opportunity to work on a cutting-edge, interdisciplinary project that aims to dramatically rethink how people and AI systems will work together in the future. To do this, the project seeks to build a strong scientific foundation for how AI can augment (as opposed to replace) humans.

An important goal of the project is to develop a rich ontology of activities that can be performed by human-AI teams. Like categorizing the plants and animals on a little-explored continent, the work will involve cataloging many (a) activities and (b) possible human-computer processes for performing these activities.

To do this, we will develop knowledge graphs that include (1) descriptions of many different types of activities and processes, and (2) classifications of these descriptions into multi-dimensional taxonomies that range from very general types of activities to very specific ones.

These knowledge graphs will then be used to automatically generate promising ways of combining humans and AI systems to perform different tasks. In the long run, we believe these tools will help rapidly (a) identify use cases for new AI capabilities, (b) specify effective processes and task allocations to humans and computers in a given situation, and (c) identify innovative ways to combine people and AI to solve business and societal problems.\

The T6 team is led by distinguished scholars, including Profs. Thomas Malone, Charles Fine, Armando Solar-Lezama, Jinhua Zhao, and Abdullah Almaatouq from MIT; Prof. Marcelo Ang from the National University of Singapore; and will be assisted by Prof. Archan Misra from Singapore Management University.

Responsibilities

• Developing descriptions of current or potential activities and processes based on various sources such as: interviews, field studies, literature reviews, and generative AI systems (such as ChatGPT).
• Making editorial decisions about what content from these sources to include in the knowledge graphs and how to present and organize this knowledge clearly.
• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Perform other duties as needed.

Requirements

- Bachelor’s or Master’s degree.

- Excellent communication and collaboration skills.

-Ability to systematically organize knowledge in structured ways that are logical, comprehensive, understandable, and conceptually elegant.

-Skilled in software development, good writing ability, statistical analysis, and social science methodologies such as experimental design or ethnographic observation.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Product area

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Additional job description

Work with Security Sales and Google Cloud teams to identify and qualify business opportunities, understand customer technical and compliance objections, and develop strategies to resolve technical blockers.

Qualifications

Job responsibilities

• Partner closely with Small- and Medium business (SMB) and Field Sales Engineering, Inside Sales, and Sales Development teams to identify and technically qualify opportunities.
• Drive technical aspects of solutions, including customer meetings, product demonstrations, and executive briefings.
• Leverage in-depth knowledge of Google Cloud Security products to build integrations, proofs-of-concept, and compelling demos for customers and partners.
• Effectively convey the value proposition of Google Cloud Security solutions through presentations, product demonstrations, white papers, trial management, and response documents.
• Travel to customer sites, conferences, and relevant events to represent the technical capabilities of Google Cloud Security as required.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in a technical sales engineering role in security or cloud native environments.
• Experience in cybersecurity technical solutions: SIEM/SOAR (EDR, XDR), Threat Intelligence (threat detection, malware intelligence, attack surface management), Cloud Security (CSPM, CWPP, CNAPP, or identity and access management systems).
• Experience in selling security consulting services.

Preferred qualifications

• Master's degree in Computer Science, Engineering, or Mathematics.
• Cloud or Security industry certifications.
• Experience in implementing security solutions for enterprises (e.g., SIEM/SOAR, threat detection and hunting, malware intelligence, cloud security posture management, or identity and access management systems).
• Knowledge of product and solution market trends in the cybersecurity industry.
• Understanding of solution architecture within web and mobile environments and of web/internet related technologies, architecture across SAAS, PAAS and IAAS and cloud productivity suites.
• Familiarity with architecture and operational aspects of large scale distributed systems. Familiarity with the popular technologies in the machine learning/big data ecosystem.

Product area

Google's network provides services to millions of Internet users around the world. Our metros are on the edge of our network where Google connects to its users. The Network Team is responsible for operating that network reliably and at scale. Our team owns the full life cycle of all space, power, and network assets in all of Google’s data centers and metro points of presence globally. From the foundation, we are involved from site acquisition to construction and are accountable for what space and power is delivered. We're involved in every facet of network delivery from architecture and design to installation, configuration, activation, and commissioning.

Job description

As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.

You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world’s most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.

Qualifications

Job responsibilities

• Manage oversight and Quality Assurance (QA) of installation technicians for rack, stack and installation of networking equipment.
• Test and commission routers, optical transport equipment, and other network devices in new and existing network nodes across Google's global network.
• Generate implementation plans and provide technical leadership and guidance during deployment activities.
• Work with project management, network engineering, and rest of the Engineering team to identify in advance potential issues in network installations, including in the areas of facility power Alternating Current/Direct Current. (AC/DC), cooling, security/access, rack layout, and cable management.
• Own network documentation, updating, and maintaining network drawings and plans.

Minimum qualifications

• Bachelor's degree in Network Engineering or Telecom Engineering, a related technical field, or equivalent practical experience.
• 3 years of experience in Dense Wavelength Division Multiplexing (DWDM) or Transmission Control Protocol/Internet Protocol (TCP/IP) or system design operations methodology.

Preferred qualifications

• Experience working with field operation technicians, engineers, contractors, or vendors in a telecommunications environment.
• Experience in collaborating across multiple levels and functions.
• Experience in directing field operation technicians, engineers, contractors or vendors in a telecommunications working environment.
• Ability to engage/influence tactical decision-making.

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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• Open to fixed-term contract

• Position : Site Engineer - Up to $4,200 - Seletar
• Location : Seletar
• Working hours : 5 Days Work Week – Monday to Friday: 8.30AM to 6.00PM
• Salary (commensurate with experience): Up to $4,200 + Performance Bonus + 14 Days Annual Leave
• Duration : Permanent
• Industry : Aerospace

Responsibilities:

• Create solutions to complex technical problems in life science, Power, water treatment, chemical and petro-chemical, shipyard and oil and gas plants.
• Do field/ bench Calibration of measuring instruments like Pressure, Temperature, Flow, radar level, analyzer, wireless and collect data
• Calculate calibration range, mA, Freq, required output and accuracy before doing calibration and record the result during calibration
• Analyze and compile technical and statistical information and prepare report
• Maintain accurate engineering documents

Requirements:

• Minimum Diploma in Electrical / Electronic / Instrumentation
• Minimum 3 years of relevant experience in the same field
• Knowledge relating to Mechanical and Measuring Instruments
• Technical report writing and able to read the schematic diagrams
• Preferably with Class 3 Driving License
• Bilingual in English & Mandarin to liaise with Chinese associates who can only speak mandarin

Email to: [email protected]

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

***We do not charge our candidates any referral fee nor bind them with any contract.***

Jeslyn Tan

Associate Consulting Director (APAC)

Reg no.: R21101247 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

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

Benefits:

• Health insurance

Schedule:

• Monday to Friday

Supplemental Pay:

• 13th month salary

Work Location: In person

Job Responsibilities:

• Handling MEMS modules development related project independently.
• Host regular PRS review meeting with project owners of TD integration and Fab module engineers.
• Provide robust recipe to TD PI for new process developing
• Co work with fab module engineers to provide solutions for projects
• Provide risk assessments for new developing projects.
• Continuous improvement

Job Requirements:

• Bachelor degree in any Engineering discipline
• At least 3 years' experience from Etch/Diffusion/Thin Film/Photo process engineer
• Integration experience is a plus
• Capable of using DPE, 7 QC tools, FMEA, SPC, 3L5W, 8D

WHO YOU’LL WORK WITH

Apparel and Accessories Costing Team is a function of Apparel and Accessories Supply Chain, driving costing model that is transparent, fair and fully digital across apparel and accessories. The team provides predictability, scalability and benchmarking of Nike manufacturing costs that improves end to end margin planning, cost mitigation and sourcing decisions. This role reports to Director, Apparel/Acc Costing, N Asia based in Shanghai

WHO WE ARE LOOKING FOR

The ideal candidate should have relevant experience and knowledge in Apparel/Accessories industrial engineering, costing, product construction, or production management. Good in product complexity analysis, workflow study and data management skills. Have good communication in technical manufacturing concepts with other stakeholders. A self-starter with ability to work independently and meet deadlines. Willing to learn and with “can-do” attitude. And below qualifications:

• Diploma or above. Minimum of 2-year work experience
• Certificate of General Sewing Data (GSD) and relevant knowledge in SAM (Standard Allowed Minute) /SMV (Standard Minute Value) analysis.
• Able to communicate in verbal and written English. Mandarin is a plus.
• Computer skills: Microsoft Excel, Word, PowerPoint, and Outlook.

WHAT YOU’LL WORK ON

As a Cost Engineer, this role will work closely with ACE managers and directors in optimizing the cost models in Nike, creating SAM/SMV database, managing the product cost analysis from manufacturing perspective, and driving cost improvement with best practice sharing. She/He will closely collaborate with both Nike internal and external stakeholders including factory partners to understand, collect and analyze the cost-related information, and then align the standard and processes.

Core Responsibilities include:

• Product Cost Engineering Analysis

1. Assist the Director/IE (Industrial Engineer) managers to design and enhance the product cost review tools (e.g. Product Standard Minutes - SAM/SMV database, Cost Matrices & Calculators) for quick and accurate product cost assessment.
2. Analyze the product cost based on style constructions, factory cost structure and other related cost factors e.g. Manufacturing efficiency during product development.
3. Liaise with Factory Partners (mostly their costing or IE teams) in case of critical gap (e.g. in SAM/SMV or other related production process) vs their quotation. Support the product development to resolve the costing challenges from product perspective.

• Update Nike cost model

1. Collect, review and analyze manufacturing information from factories or market research (machines, workflow, output/efficiency…) for setting the reasonable and sustainable cost models.
2. Track and report cost drivers (e.g. SAM/SMV, Efficiency/Productivity) Study the impact and drive the review with the key functions including factory partners, Manufacturing Engineering team and Product creation team.

• Improve factory cost performance

1. Collect and analyze production data. Report the factory performance through scoring Manufacturing Index or other measurements.
2. Study and share the best practice to improve the cost performance of factories. Regularly review and update any related cost benchmarks.