SMC (Systems on Silicon Manufacturing Company Pte. Ltd.), is a Joint Venture between NXP and TSMC. We offer flexible and cost effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

At SSMC, every career journey is unique and rewarding. We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for an Engineer/ Senior Engineer to be part of our Thin Film department diverse team of talent. You will be responsible for supporting Thin Film Equipment startup, maintenance and related activities to support daily production and achieve operation targets.

What you will be working on:

• Support CVD/PVD equipment engineering related activities to achieve operation targets and meet company objectives
• Participate in Continuous Improvement for Cost, Yield, Productivity and Uptime
• New Equipment Startup and Relocation to support Production Plan
• Tool Ownership and accountability for Uptime, Wafers scrap, Parts Management, Equipment Down Memo Reduction
• Troubleshoot and resolve Equipment issues to support daily production
• Review and optimize equipment maintenance procedures
• Consumable and spare management ensure adequate provision
• Participate in technology transfer from motherfab
• Participate in implementation of TSMC/NXP BKMs and generate SSMC BKMs
• Update of OIs and SOPs to document real and best practices
• Preventive Maintenance Planning and alignment of schedule with Manufacturing
• Conduct Training and certification for new PM crew in terms of Hands on and Theory
• Drive Manufacturing for Monitoring Time reduction to improve Uptime
• Lead/ Participate in Transform Platform and generate LSS, BKMs and Trade Secrets for value creation for the company
• Able to perform weekend 12-hour shift or Swing Shift or any shift pattern as defined by Manager

More About You:

• Bachelor in Engineering (Mechanical/Mechatronic/Electrical/Electronic)
• 1-3 years’ experience in semiconductor manufacturing environment.
• 5 years direct experience in CVD equipment for Diploma holders
• Knowledge in the following tool types AMAT Endura , Centura WxZ, Novellus Altus, Tel Scrubber, Jusung Eureka
• At least 3 years’ experience in same field will be consider for senior position
• A strong background and experience in semiconductor manufacturing

SSMC is committed to equal employment opportunities and abides by the Tripartite Guidelines on Fair Employment Practices (TGFEP). All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.

What you will do:

• Provides sales support to the engineering /sales team. Conducts engineering design and processes and / or financial analysis during project development. Generates take-off plans and specifications. Develops and writes estimates or proposals. May call on potential customers as directed by sales managers.

How you will do it:

• Perform drafting, design and prepare engineering drawings (2D) and documentation as per customer’s/project requirements.
• Create electrical schematic, Design layout plans and detailed designs with AutoCAD software.
• Provide pre-sales support to Sales team, including proposal costing and attending technical clarifications
• meeting and/or presentation with customers
• Products sourcing from suppliers.
• Compilation and submission of all documentations as required as per the project requirements.
• Review customer’s technical comments and revise documentation and drawings.
• Visual Inspection and quality check on products/Systems.
• Prepare Functional Test Documents and Assist Project Operations Team on functional testing.
• Liaise and maintain good relationship with customers, subcontractors and suppliers

What we look for:

• Min. Diploma/Degree in Electrical/ Electronic Engineering
• More than 5 years’ experience in Marine Offshore Protection System with related experience.
• Good knowledge of NFPA/Marine Classification Rules & Regulations
• Familiar with Fire & Gas Detection, Vesda Systems.
• Proficiency in AutoCAD and Microsoft Office especially Microsoft Word and Excel.
• Resourceful, results-oriented, excellent interpersonal skills and business acumen
• Able to work independently and deliver results for multiple projects under tight deadlines
• Willingness to learn new things.
• Basic knowledge OT systems, such as SCADA and DCS
• Basic understanding of cybersecurity concepts and best practices, including risk management, threat modeling, and incident response
• Excellent analytical and problem-solving skills
• Strong communication and collaboration skills

What we offer:

• Competitive salary
• Paid vacation/holidays/sick time
• Comprehensive benefits package
• On the job/cross training opportunities
• Encouraging and collaborative team environment
• Dedication to safety through our Zero Harm policy

Quantitative Product Development Engineer (Trading)

Job Responsibilities:

• Actively participate in the development and maintenance of equity and futures products, ensuring consistent improvement in online service quality through technical solutions, and take responsibility for the reliability of live trading.
• Collaborate closely with researchers to enable various strategies, regardless of type or scale, to operate efficiently in live trading and generate substantial returns.
• Conduct research and integration of programmatic trading platforms, including implementing and deploying microsecond-level software solutions.
• Optimize the performance and latency of trading and order execution systems across dimensions such as computation, storage, networking, and hardware.

Job Requirements:

• Bachelor's degree or higher in Computer Science or a related field from a well-known domestic or international university, with over 2 years of work experience.
• Proficient in Linux operating systems and meet at least one of the following:a. Skilled in C++ and one scripting language.
  b. Skilled in Python 3 and one statically-typed language.
• Familiarity with production and iterative processes for online services, along with techniques for improving service reliability.
• Experienced with best practices such as Git, code review, and CI/CD, with a strong focus on tool-building and excellence in execution
• Experience in maintaining large-scale, highly complex, mission-critical products.Strong system design skills with expertise in performance, reliability, and availability.Hands-on development experience in any of the following areas: operating systems, databases, storage systems, or distributed systems.

Regret to inform that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R1878287

Business Registration Number: 201735941W.

Licence Number: 18S9037

Join our R&D team within Chemtech division in Singapore as Electrical and Instrumentation Technician/Engineer.

Your main tasks and responsibilities:

• The job holder is responsible for the execution of preventive maintenance, troubleshooting, repairs, and maintenance of all pilot plant facility as well as maintaining the calibration program of all instruments.
• Develop electrical and instrumentation systems tailored for ATEX or IEC classified environments. This includes designing control panels, crafting intricate wiring diagrams, and meticulously mapping out instrumentation layouts.
• Oversee the installation, commissioning, and maintenance of electrical and instrumentation systems. Troubleshoot and resolve electrical and instrumentation issues to minimize downtime and ensure safety. Conduct routine inspections and preventive maintenance on electrical and instrumentation equipment.
• Ensure all electrical and instrumentation systems adhere to relevant safety standards and regulations. Participate in safety assessments and develop strategies to mitigate risks associated with electrical and instrumentation systems.
• Maintain accurate documentation of electrical and instrumentation designs, configurations, and maintenance records. Prepare technical reports, drawings, and documentation for internal and external stakeholders.
• Identify opportunities for process optimization and efficiency improvement in electrical and instrumentation systems. Stay updated on industry trends and emerging technologies to recommend upgrades and improvements.

To succeed in this role, you will need:

• Diploma or Degree in Electrical Engineering with relevant experiences in pharmaceutical, chemical or petrochemical industries.
• >7 years for Diploma or 3-5 years for Degree experience in pharmaceutical, petrochemical or flavor and fragrance environment.
• •Hands-on experience in ATEX or IEC environment, preventive maintenance, troubleshooting, repairs, maintenance of automation and equipment, as well as maintaining the calibration program of all instruments.
• Ability to conceptualize and provide design for electrical, instrument and control wiring diagrams.
• Requires skills in analyzing malfunctions in control systems and making appropriate repairs. This includes troubleshooting PLCs, field sensors, control wiring, general I/O wiring, & networks/communications wiring.
• Requires skill in the use of technicians' tools such as electric meters, oscilloscopes, calibration devices, electronic testers, etc.
• Awareness for safe handling of chemicals, potentially dangerous materials and equipment.
• Proficiency in AutoCAD or other relevant design software.

Location: We are based in Cleantech 3 (This role is for our new R&D Test Centre)

Sulzer is an equal opportunity employer. We believe in the strength of a diverse workforce and are committed to offering an inclusive work environment.

At Sulzer, you are empowered to deliver superior results. As a pioneer in industry we have a proud heritage of innovation and continue to evolve for the future. Join our story and create your own impact by developing your expertise and building solutions that help make our lives safer, smarter and more sustainable

Job Overview

Do you want to further develop your analytical mind to pinpoint core issue and earn the satisfaction of resolving it ? Do you like working with fellow team members to improve your job routine and environment ? Do you crave job security and yet be at the frontier of technology?

Join us at UMC (SG), a leading global semiconductor foundry company manufacturing microchips for use in the present and for the future. In course of your work, you will learn internationally acclaimed analytical skills and techniques to apply in your work and personal life. Have the chance to work with engineers from other fields and process to resolve and improve current procedures.Seize the opportunity to take part at senior level in Quality improvement competition host in Taiwan national level and earn accolades as an elite engineer with awards and certification. Be recognized as an engineer of high calibre in Singapore and internationally.

Responsibilities

1. Day to Day monitoring and ownership to timely address in-line SPC/defect/Equipment abnormality and lot handling
2. Maintain Equipment capability for production and meet production demand
3. Engage with Production line and Process Engineers to balance tool availability for production, troubleshooting and scheduled maintenance
4. Engage in Equipment troubleshooting and production quality improvement.
5. Evaluation of new equipment/materials and retrofits of Equipment for better efficiency / production quality
6. On-call support if emergency situation
7. Schedule shift on-duty

Qualifications

1. Possess at least a Bachelor's Degree in engineering in Electronic Engineering , Electrical Electronic Engineering, Chemical Engineering, Materials Science, Mechanical Engineering ,Physics, Automation, Aerospace Engineering
2. Able to think critically with strong analytical skills
3. Possess good communication skills and time management skills
4. Prior leadership or competition experience in school activities will be an advantage
5. Must be willing to commit shift work
6. At least 2 years with relevant working experience in semiconductor industry foundry

Job Overview
Do you want to further develop your analytical mind to pinpoint core issue and earn the satisfaction of resolving it ? Do you like working with fellow team members to improve your job routine and environment ? Do you crave job security and yet be at the frontier of technology?

Join us at UMC (SG), a leading global semiconductor foundry company manufacturing microchips for use in the present and for the future. In course of your work, you will learn internationally acclaimed analytical skills and techniques to apply in your work and personal life. Have the chance to work with engineers from other fields and process to resolve and improve current procedures. Seize the opportunity to take part at senior level in Quality improvement competition host in Taiwan national level and earn accolades as an elite engineer with awards and certification. Be recognized as an engineer of high calibre in Singapore and internationally.

Responsibilities

• Day to Day monitoring and ownership to timely address in-line SPC/defect/Equipment abnormality and lot handling
• Take Ownership to Maintain Equipment capability for production and meet production demand
• Engage with Production line and Process Engineers to balance tool availability for production, troubleshooting and scheduled maintenance
• Engage in Equipment troubleshooting and production quality improvement.
  Evaluation of new equipment/materials and retrofits of Equipment for better efficiency / production quality
• On-call support if emergency situation
• Schedule shift on-duty

Qualifications

• Possess at least a Bachelor's Degree in engineering in Electronic Engineering , Electrical Electronic Engineering, Chemical Engineering, Materials Science, Mechanical Engineering ,Physics, Automation, Aerospace Engineering
• Able to think critically with strong analytical skills
• Possess good communication skills and time management skills
• Prior leadership or competition experience in school activities will be an advantage
• At least 2 years of working experience in semiconductor industry.

Job Overview

Do you want to further develop your analytical mind to pinpoint core issue and earn the satisfaction of resolving it ? Do you like working with fellow team members to improve your job routine and environment ? Do you crave job security and yet be at the frontier of technology?

Join us at UMC (SG), a leading global semiconductor foundry company manufacturing microchips for use in the present and for the future. In course of your work, you will learn internationally acclaimed analytical skills and techniques to apply in your work and personal life. Have the chance to work with engineers from other fields and process to resolve and improve current procedures.Seize the opportunity to take part at senior level in Quality improvement competition host in Taiwan national level and earn accolades as an elite engineer with awards and certification. Be recognized as an engineer of high calibre in Singapore and internationally.

Responsibilities

1. Perform regular maintenance and troubleshooting of wafer fabrication diffusion equipment including implanters, vertical/horizontal furnaces, RTO/RTP platforms, Laser RTP systems, and EPI.
2. Day to Day monitoring and ownership to timely address in-line SPC/defect/Equipment abnormality and lot handling
3. Maintain Equipment capability for production and meet production demand
4. Engage with Production line and Process Engineers to balance tool availability for production, troubleshooting and scheduled maintenance
5. Engage in Equipment troubleshooting and production quality improvement.
6. Evaluation of new equipment/materials and retrofits of Equipment for better efficiency / production quality.
7. On-call support if emergency situation
8. Schedule shift on-duty

Qualifications

1. Possess at least a Bachelor's Degree in engineering in Electronic Engineering , Electrical Electronic Engineering, Chemical Engineering, Materials Science, Mechanical Engineering ,Physics, Automation, Aerospace Engineering
2. Able to think critically with strong analytical skills
3. Possess good communication skills and time management skills
4. Prior leadership or competition experience in school activities will be an advantage
5. Must be willing to commit shift work
6. At least 2 years with relevant working experience in semiconductor industry foundry

At InnoEdge, we work with organisations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Based in Singapore, our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

InnoEdge believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.

Collaboration is key to our success. We prioritise open communication, constructive feedback, and a willingness to help others. We are committed to creating a supportive work environment that encourages excellence, innovation, and continuous improvement. We're looking for individuals who share our values and are excited to join us on our cyber mission.

Responsibilities:

• Design, build and deploy high performance web applications and APIs
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write high-quality code with unit, functional and end-to-end tests
• Perform architectural/technical design, technical prototyping, development, and reviews
• Communicate and negotiate technical solutions and architectural designs with diverse stakeholders
• Lead technical work and integration efforts across teams and products
• Staying abreast of developments in web applications and programming languages
• Provide technical mentorship to junior staff in the team.
• Perform occasional travel to remote sites to assist the support engineer in troubleshooting, or to accompany the product manager as a pre-sales engineer

Requirements

• At least 5 years of hands-on experience in modern web apps using JavaScript/Java/python or relevant experience in a software development team where the product goes into production
• Be a team player with good communication skills
• Demonstrate ability in full stack deployment of web applications
• Experience in designing and implementing RESTful API design
• Experience in the software development using agile SCRUM
• Experience in the following web application framework software / solution stack:

o Java Spring Boot

o ReactJS (knowledge of VueJS would be considered a bonus)

o Python

o Shell scripting

• Experience in the following would be a bonus:

o Git/Github, Elasticsearch, and Kibana

o Experience with threat hunting, Snort, and Arkime domains

o RHEL hardening expertise

o Networking skills, including configuring switches as network brokers

o Docker containers, development of CI/CD pipeline

o Designing and implementing microservices architecture

If you meet these qualifications and are passionate about software development and cyber security, we encourage you to apply for this exciting opportunity. We offer competitive compensation, a comprehensive benefits package, and a collaborative and dynamic work environment.

About VSMC

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

Role Summary

You will be responsible to deliver robust and efficient semiconductor manufacturing process with data driven analytics and systemic problem-solving skills in the respective modules: Etch (Dry Etch and Wet Etch); Photolithography; Diffusion; Chemical Mechanical Planarization (CMP); Chemical Vapor Deposition (CVD) or Physical Vapor Deposition (PVD)

Key Responsibilities

• Maintain smooth daily manufacturing operations and problem solve issues promptly
• Actively collaborate with equipment and material suppliers and partners to identify technology deficiencies; develop, evaluate, and validate corrective and preventive solutions
• Qualify and sustain manufacturing processes to scale up capacity swiftly and maintain with quality and urgency
• Continuously improve process stability and capability, enhance quality, reliability, yield, productivity, and safety standards
• Design and execute experiments, analyze complex data sets, and derive actionable insights to optimize manufacturing processes and precise controls
• Implement statistical process control methods to establish and uphold robust manufacturing processes

Education Qualification & Essential Experiences

• Bachelor’s or higher degree in Electrical and Electronics Engineering, Chemical Engineering, Material Science, Physics or STEM related fields
• Must be available to travel to Taiwan for a training period lasting 6 to 9 months
• Fresh graduates welcome to apply

Key Skills and Attributes

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

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

Why choose Logicalis?

As Architects of Change, Logicalis' focus is to design, support and execute clients' digital transformation by uniting their vision with their technology expertise and industry insights. The company, through its deep understanding of key IT industry drivers such as security, cloud, data management and IoT, can address customer priorities such as revenue growth and business, operational efficiency, innovation, risk and compliance, data governance and sustainability.

We strengthen our purpose: to design, support, and execute our customers' digital transformation by converging their vision with our technological expertise and knowledge of the industry. The brand refresh underpins both the evolution of Logicalis’ positioning as well as our strategic vision for growth.

Responsibilities:

• Implementing network and security solutions: Responsible for implementing network and security solutions for clients, which may involve configuring routers, switches, wireless, load balancers and other network devices like Aruba. Racking and Stacking network devices. Expected to handle small to mid-sized project.
• Troubleshooting network and security issues: Responsible for diagnosing and resolving network and security issues that arise for clients while deploying, which may involve investigating connectivity problems, configuration issues, and analyzing network traffic.
• Client management: Responsible for building and maintaining relationships with clients, managing their expectations, and ensuring their needs are met.
• Collaboration with other teams: Working closely with other teams such as project managers and Operations team to ensure the network and security delivery is completed within the stipulated time.
• Technical Documentation: Responsible for creating technical documentation such as Low-Level Design, TDS, As-built, UAT and SAT documents. Signoff all the documents from clients for the project closure.
• Knowledge Transfer: Responsible for providing handover the project to client and internal operations team.

Requirements:

• Possess at least a Diploma, Bachelor's Degree, or Professional Degree in Computer Science/Information Technology or equivalent
• Minimum 1-5 years of experience in network design/deployment.
• Excellent knowledge in Routing and switching, eg. BGP, OSPF, Multicast, VSS, spanning tree, MPLS L3VPN.
• Experience in wireless. Cisco WLC, Aruba, Prime, MSE/CMX, DNAC, Ekahau Site Survey tool
• Data centre technologies, eg. Cisco Nexus VDC, VPC, FEX, VXLAN, ACI.
• Good knowledge of Firewall technologies eg. IPSEC VPN, SSL VPN, IPS/IDS, Cisco ASA, Firepower, Fortigate,
• Good knowledge in network access control(NAC) product, eg Aruba Clearpass Policy Manager, Cisco ISE.
• Excellent interpersonal & communication skills
• Current CCNA/CCNP qualified with related professional experience, CCIE would be an advantage.

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

About your role

• Lead the design and development of cutting-edge 3D machine vision systems tailored for industrial robotic use cases, ensuring high precision and performance.
• Collaborate closely with cross-functional teams, including robotics engineers and software developers, to integrate 3D machine vision technology seamlessly into robotic applications.
• Oversee the integration of 3D sensors with robotic systems, optimizing their performance and accuracy.
• Develop and refine algorithms for data acquisition, image processing, and object recognition to enable advanced visual perception capabilities for robotic systems.
• Troubleshoot and debug technical challenges related to machine vision technology, ensuring robust and reliable operation within industrial environments.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Significant experience in the design and development of 3D machine vision systems, particularly in industrial or robotic applications.
• Proficiency in programming languages such as Python, C++, and experience with relevant libraries and frameworks.
• Strong knowledge of 3D sensors, as well as processing and manipulation of point cloud and mesh.
• Problem-solving skills and the ability to work collaboratively in a multidisciplinary team environment.
• Excellent communication skills to effectively convey technical concepts and insights to both technical and non-technical stakeholders.

• Position: Junior Sales Executive/Engineer (FULL TRAINING PROVIDED/NO EXPERIENCE WELCOME)
• Location: Toh Guan
• Working Hours: Monday to Friday (7am - 4pm), Alternate Saturday (7am - 12.30pm)
• Salary (commensurate with experience): Up to $3,500 + Performance Bonus
• Duration: Permanent
• Industry: Fire protection system supplier

Main Responsibilities:

• Source for new clients
• Promote the company’s products/services addressing
• Following up on leads to make advisor/client appointments
• Build long-term relationships with new and existing customers
• Any other ad-hoc duties assigned

Requirements:

• Minimum 'N' Level
• Full training is provided for inexperienced candidates

Email to: [email protected] for more information.

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.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

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.

• Position: Sales Engineer
• Location: Ubi
• Working Hours: Monday to Friday (office hours)
• Salary (commensurate with experience): Up to $5,000 Basic Salary + ATTRACTIVE Commission + Transport Allowance + Performance Bonus
• Duration: Permanent
• Industry: Machinery

Main Responsibilities:

• Manage existing customers and develop new customers and foster good customer relationship for revenue growth and customer retention
• Provide pre-sales assistance and after-sales support to customers
• Prepare quotations and follow up on sales enquiries/proposal from customers
• Prepare sales visits, maintain customers contact database and update project status/activity reports on weekly basis
• Support marketing activities in seminars, trade shows, conferences, and other marketing events
• Deliver presentations and hands-on demonstrations of products, applications, and technology for the purpose of product sales
• Able to analyse competition market/data
• Any other ad-hoc duties assigned

Requirements:

• Bilingual in English and Mandarin to liaise with Mandarin speaking associates in view of business communications
• At least Diploma in Electrical Engineering/Mechanical Engineering or Mechatronics
• Minimum 2 years of working experience in industrial electrical/mechanical component sales
• Prior experience with automation & motion control
• Proficient with Windows based applications (Word, Excel, PowerPoint)
• Full product training is provided

Email to: [email protected] for more information.

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.***

Abby Pang

Deputy Consulting Director (APAC)

Reg no.: R2093867

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.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

Product area

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

Job description

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

Qualifications

Job responsibilities

• Develop Google Wallet Application (including GMSCore and the Wallet App) across phones and devices.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Perform full cycle feature development and launch.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with large scale application design and architecture.
• 3 years of experience with Android application development.
• 3 years of experience writing code in Kotlin or Java

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.
• Experience building for Android, particularly AOSP or GMSCore changes.

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

• Lead, oversee, and plan the development of autonomous vehicle learning platforms.
• Identify and develop autonomous vehicle hardware and software stacks.
• Actively drive projects to improve existing platform features and add new features to complement and expand the capabilities of the system.
• Engage and mentor Master’s and Undergraduate students as well as industry attachment interns.
• Collaborate with other research engineers and coordinate various activities at the Advanced Robotics Centre.

Qualifications

• Bachelor’s degree in engineering related to robotics field.
• Familiar with vehicle structures, electronics, vehicle kinematics and dynamics.
• Experience with autonomous vehicles Drive-by-Wire (DBW) systems and control.
• Proficiency in CAD/CAM and fast prototyping.
• Familiar with open-source autonomous driving frameworks such as Apollo, Autoware, etc.
• Proficiency in robotics middleware and simulation tools (ROS, Gazebo, Carla, SUMO, Carsim (preferred)).
• Experience in C/C++ and Python development.
• Experience in autonomous vehicles and robotics full-stack development is preferred.
• Experience in remote control system development is preferred.
• Highly motivated individual who can work in a fast-paced environment.
• Meticulous organizer with a positive and can-do attitude.
• Strong team player with the ability to lead projects.
• Good communication, writing and presentation skills.

We are seeking a skilled AI Technician to join our team. The ideal candidate will have a strong technical background, excellent problem-solving skills, and a passion for artificial intelligence and machine learning. As an AI Technician, you will be responsible for maintaining, troubleshooting, and supporting AI systems and applications, ensuring their optimal performance and reliability.

Key Responsibilities:

• Install, configure, and maintain AI hardware and software systems.
• Data labelling, AI model benchmarking
• Monitor and analyze the performance of AI systems, identifying and resolving issues as they arise.
• Collaborate with data scientists, engineers, and other stakeholders to integrate AI solutions into existing infrastructure.
• Perform routine maintenance and updates to ensure the security and efficiency of AI systems.
• Document processes, system configurations, and troubleshooting steps.
• Assist in the development and deployment of new AI applications and models.
• Provide technical support and training to end-users and team members.
• Stay current with the latest advancements in AI technology and best practices.

Requirements:

• Diploma or Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Interest in working with AI systems and applications.
• Strong knowledge of programming languages such as Python, Java, or C++.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Understanding of AI hardware components, including GPUs and specialized processors.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork skills.
• Ability to work independently and manage multiple tasks simultaneously.

Preferred Qualifications:

• Certification in AI, machine learning, or related fields.
• Experience with version control systems (e.g., Git).
• Knowledge of AI ethics and data privacy considerations.

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

We are seeking a highly skilled AI Engineer to join our team. The ideal candidate will have experience in developing and deploying AI solutions, including data analytics, machine learning, and deep learning, OpenCV. You'll be responsible for designing, developing, testing, and implementing AI systems that solve complex business problems.

Key responsibilities include but not limited to:

· Develop and deploy AI solutions that solve complex business problems

· Collaborate with cross-functional teams to design and develop end-to-end AI systems

· Work on developing computer vision algorithms, deep learning, and reinforcement learning algorithms

· Develop and maintain scalable and robust AI infrastructure

· Ensure that AI systems meet the highest standards of security, privacy, and ethical considerations.

Requirements:

· Bachelor's or Master's degree in computer science, data science, or related fields

· Strong experience in machine learning, computer vision, and other AI-related technologies

· Proficiency in programming languages like Python, Java, or C++

· Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras

· Good understanding of software engineering practices, including version control, code review, testing, and deployment

· Ability to work in a fast-paced, collaborative environment

· Excellent communication skills and ability to explain complex AI concepts to non-technical stakeholders.

Job Responsibilities

1. System Integration

• Interface with WhatsApp Business API and Help Desk systems to support message reception, distribution, and routing.
• Develop middleware for messaging to optimize cross-platform data synchronization and system communication efficiency.
• Integrate external APIs (e.g., flight, weather, hotel data) to provide clients with dynamic content.
• Ensure efficient data flow across systems, enhancing collaboration between systems and messaging services.

2. Knowledge Base Management and Optimization

• Build and maintain business knowledge bases, including playbooks, FAQs, and product information, ensuring data accuracy and timeliness.
• Optimize the knowledge base using vectorization techniques (e.g., embeddings) and Retrieval-Augmented Generation (RAG) to enhance contextual support for LLMs.
• Develop tools for automated knowledge base updates, supporting multi-language and dynamic content management.
• Collaborate with the NLP team to create efficient knowledge retrieval pipelines, enabling precise business context support for LLMs.

3. Data Stream Processing and Analysis

• Design and implement data pipelines for comprehensive workflows from collection, cleansing, storage, to analysis.
• Build real-time stream processing systems (e.g., Kafka or RabbitMQ) to ensure low-latency and high-throughput message transmission.
• Develop data monitoring tools to provide insights on performance, usage reports, and issue diagnostics.

4. LLM Support and Expansion

• Collaborate with the NLP team to optimize input data processing and context enhancement for LLMs.
• Provide API interfaces seamlessly integrated with the knowledge base, supporting multi-turn dialogues and complex task management via LLMs.
• Support future LLM projects, including multi-language conversations, sentiment analysis, and dynamic recommendation features.

5. Technical Support and System Optimization

• Optimize existing system architecture to enhance data flow and message processing efficiency.
• Diagnose and troubleshoot system issues to ensure high availability and stability.
• Participate in technical evaluations and introduce new technologies to deliver innovative solutions for business needs.

Job Requirements

1. Technical Skills

• System Integration:Proficient in RESTful API and Webhook development, capable of interfacing with WhatsApp Business API and Help Desk systems.
  Skilled in message queue tools (e.g., Kafka, RabbitMQ) to optimize message distribution and routing.
  
• Data Processing and Knowledge Base:Familiar with vector search technologies (e.g., FAISS, Elasticsearch) with experience in building and optimizing knowledge bases.
  Proficient in designing and optimizing SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  
• Stream Processing and Automation:Experienced with real-time stream processing tools (e.g., Apache Flink, Apache Kafka Streams).
  Familiar with data pipeline tools (e.g., Apache Airflow, Luigi).
  
• LLM Support:Understand the fundamentals of large language models (e.g., GPT-4) and support RAG-based context-enhanced generation.
  NLP project experience is a plus.
  

2. Work Experience

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or related fields.
• At least 3 years of experience in data processing, system integration, or backend development.
• Experience with distributed systems or knowledge base management is preferred.

3. Soft Skills

• Learning Ability: Passion for LLM and AI technologies with the ability to quickly grasp new skills.
• Cross-Team Collaboration: Capable of efficient collaboration with NLP, front-end development, and business teams.
• Problem Solving: Strong analytical skills to address complex system issues.
• Responsibility: Ability to independently drive project progress and deliver high-quality results.

Bonus Points

• Experience integrating WhatsApp Business API and Help Desk systems (e.g., Odoo, Zendesk, Freshdesk).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud services (AWS/GCP/Azure).
• Expertise in developing multilingual knowledge bases.
• Experience with large-scale system optimization or distributed system development.

Position Summary:

The Software Engineer (Industry 4.0) is primarily responsible for driving and executing the Industry 4.0 digital transformation roadmap within the scope of Manufacturing Execution System (MES) and Robotic Process Automation (RPA).

We are looking for passionate individuals who are willing to learn, deliver effective user-centric solutions and able to collaborate and drive projects with cross-functional teams.

Responsibilities:

• Develop and manage existing MES as part of our Industry 4.0 digital transformation roadmap with compliance to data modelling standards and security requirements.
• Explore and drive projects utilizing RPA to automate processes and administrative tasks by collaborating with cross-functional teams.
• Training, knowledge transfer and documentation of developed solutions to operational teams
• Any other ad hoc duties as and when required.

Requirements:

• Diploma or Degree in Computer Engineering or Computer Science
• Preferably at least 1 year relevant working experience in a software development environment
• Solid grasp of software development fundamentals
• Strong analytical skills to translate and optimise business needs into IS/IT solutions
• Excellent communication and presentation skills
• Experience in project management and ability to collaborate with cross-functional teams
• Hands-on experience with UiPath or other RPA tools
• Full stack development in field of web applications, hands-on experience with PHP, C# and Rust
• Experience working in a manufacturing environment
• Presentable, pleasant with strong interpersonal skills
• Self-motivated and possesses positive attitude with strong sense of responsibility
• Good communication skills and the ability to work well in a team
• Proficient in English both spoken and written

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.), is a Joint Venture between NXP and TSMC. We offer flexible and cost-effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom environment, 100% equipment automation and proven wafer-manufacturing processes.

At SSMC, every career journey is unique and rewarding. We're looking for innovative, passionate, and talented people like you to join our team.

We’re searching for a ISEP Senior Engineer to be part of our Facilities Department diverse team of talent. You will be responsible to provide support pertaining to Environmental, Health and Safety to wafer fabrication for the company

What you will be working on:

• Familiar with WSH Act, Fire Safety Act and ISO 45001, ISO14001, SS651 so as to ensure compliance to these requirements, including Statutory Equipment & Licenses.
• Ensure that the EHS Management Systems are implemented, maintained, and compliant with all applicable local legislation.
• Ensure safety case implementation and mitigative measures for Safety-Critical Events (SCE) in Major Hazard Industries (MHI).
• Develop, maintain, and periodically test emergency response plans, conduct CERT audits, and lead emergency drills including training, maintain procedure and implement all the requirement.
• Compliance with regulatory and permit/ licenses requirements, through Monitoring & Measurement and standard, work to ensure proper management and accurate reporting.
• Implement of EHS programs to improve awareness and performance towards established goals actively.
• Manage EHS incidents and non-conformance investigations, ensuring corrective and preventive actions are tracked and closed.
• Schedule and coordinate EHS related meeting, inspection and audit (External / Internal)
• Manage, schedule and coordinate EHS trainings including training and revision of training materials.
• Manage EHS reports, EHS bulletin/Alerts Manage and other communications
• Revise and write EHS procedures and work instructions.
• Manage work permit system and contractors management.
• Any other duties as assigned by Manager

More about you:

• Minimum Diploma / Bachelor in Science or Engineering in Environmental, Chemical or equivalent
• Familiar with local regulatory requirements related to workplace safety and health, and all other aspects of safety.
• Strong understanding of chemical safety regulations, ISO45001, ISO14001 and SS651
• Certificates in EHS Internal Auditing (ISO 45001, ISO 14001, SS651) will be significantly advantageous
• Registered Workplace Safety and Health Officer and Fire Safety Manager

SSMC is committed to equal employment opportunities and abides by the Tripartite Guidelines on Fair Employment Practices (TGFEP). All qualified applicants will receive non-discriminatory consideration for employment on the basis of merit and regardless of age, race, gender, religion, marital status and family responsibilities, or disability, or any other attributes as protected by the relevant laws.

Responsibilities

• Collaborate with sales and software engineering teams to evaluate and identify optimal cloud solutions for customers.
• Migrate on-premises workload to Cloud Service Providers.
• Plan, design and develop cloud infrastructure necessary to support Anacle's software applications.
• Monitor cloud systems for optimal performance and establishes and monitors best practices, policies, and procedures.
• Identify, analyse, and resolve infrastructure vulnerabilities and application deployment issues.
• Perform vulnerability / security updates and firmware patches.
• Configure and monitor the statuses of backups and perform disaster recovery when required.
• Configure and monitor health statuses of cloud components and respond to monitoring alerts appropriately to ensure continuity in customers' software applications.
• Prepare system architecture documentation.

Essential Skills and Experience

• At least a Diploma, Advanced/Higher/Graduate Diploma, Bachelor’s Degree, Post Graduate Diploma or Professional Degree in Engineering (Computer/Telecommunication), Computer Science/Information Technology or equivalent.
• Experience with cloud technologies – AWS, Azure, or Google Cloud
• Fresh graduates, or anyone with relevant working experience
• Good background in Operating System administration for Linux/Unix and/or Microsoft Windows Server.
• Proficient in networking concepts (e.g., DNS, TCP/IP, and firewalls)
• Hands on experience in managing public cloud including developing and deploying large, scalable production applications on cloud/Iaas, Paas platforms and Containers. Experience with Docker and Kubernetes is a plus.
• Working knowledge of DevOps software development tools and methodologies is an advantage.
• Cloud service providers’ certification will be a plus
• Able to work after office hours depending on project needs
• Able to handle multiple tasks and priorities using effective organisational and time management skills.
• A good team player who is able to work in a fast-paced environment.

We regret that only shortlisted candidates will be notified.

Job responsibilities

1. Responsible for Physical Design for Full chip/Blocks covering Floor planning, Placement, Area Optimization, Clock tree synthesis, Placement optimizations, Routing, Timing Closure, power network design, Voltage drop analysis, RC extraction, etc.

2. Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other R&D Engineers.

3. Work with Frontend team to understand the RTL design and drive physical aspects early in design cycle for physical design closure.

Job requirements

1. Bachelor's degree or above, major in Microelectronics / Electronic engineering / Communication engineering and other related fields.

2. More than 3 years working experience in layout and wiring of 40 nm and below technology.

3. Able to independently complete the whole chip P&R process and IR_ Drop, STA, low power inspection.

4. Familiar with TCL or Perl and other scripting languages.

5. Familiar with design flows and EDA tool software.

6. Familiar with Sign-off methodology and the use of EDA tool software in STA / power.