• 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

• 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.

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

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.

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

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.

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.

Qualification (s) – BE/ BTech/ MTech/MS/ PhD

Domain - Electronics, Electrical, Computer Engineering or Computer Science Engineering.

Experience – Fresh Graduate Diploma with 0 to 2 years experence including IHL and Singapore Polytechnics Graduate with EEE qualifications.

Job Description –

RTL coding and module-level verification of digital IC circuit blocks

Assist DV engineering team for system-level verification and debug

Assist in creating and maintaining design documentation

Assist in the completion of sign-off GDSII working with DFT and PD engineering teams.

Requirement –

Highly motivated and driven to solve challenging design problems

Able to read and understand the architectural specifications at the sub-

system/chip level

Comprehend the Power-Performance-Area trade-offs in the development of micro-architecture

Proficient with at least one programming language

Preferred experience –

Concentration/major in IC Design

Hands-on experience in digital IC design

Knowledge of industry Protocols – PCIe, NVMe, USB4.0, DDR, AXI, CHI, AHB, MIPI, Display port, Ethernet etc.

Design Techniques – Low-power, UPF, Clock Domain Crossing (CDC),

Booting/Reset Flow

Proficient in a scripting languages – Shell scripting, Python, Tcl, PERL etc.

JOB SUMMARY:

The Applications Engineer is responsible for promoting the sale of the Division’s products which requires engineering knowledge sufficient to make judgments involving applications, installations, and economic consideration, as well as, handling all customer and distributor inquiries requiring technical assistance.

ESSENTIAL DUTIES & RESPONSIBILITIES:

This job description represents the primary areas of responsibility; specific position assignments will vary depending on the needs of the proposal department.

To perform the job successfully, an individual must be able to execute each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Essential duties and responsibilities should be listed in the order of importance/majority of time spent.

• Primarily responsibility is to support sales in the quoting, designing, and costing of solutions to customer problems, including prompt responses to inquiries and questions.
• Handles application inquiries and recommends appropriate products with a high sense of urgency and in a timely manner.
• Provides quotations, both written and verbal, in accordance with ERP and company price lists, electronic quote tool and contractual discount schedules; performs necessary follow-up.
• Assists customers with troubleshooting problems, handles customer complaints, and solves problems in a prompt, professional manner; may be involved in investigating and reporting on warranty claims and return goods authorization (RGA) process.
• Performs costing analysis, when necessary, on product line items versus published pricing to arrive at gross margin calculation for review and approval by Applications and Sales Managers
• Coordinates customer delivery requirements with the Production Department
• Recommends modifications to standard products to meet individual customer requirements, within practical company and economic limitations.
• Takes necessary actions to increase sales of the Division’s products.
• Represents, on occasion, and if necessary, the division at trade shows as well as potential visits to customer for sales or service-related activities.
• Assists in creating marketing literature, website development and other system tools to boost productivity and sales.
• Performs other duties of a similar nature and level as assigned.

EDUCATION AND EXPERIENCE:

• Bachelor of Science degree in Engineering or equivalent experience with plant emission control design
• 2-3 years of experience developing system design for nuisance dry particulate collection for industrial manufacturing processes
• Understanding of EPA emissions requirements is preferred.
• Experience working with materials used in corrosive and/or high temperature environments.
• Experience working with technical specifications is preferred.
• Understanding of the physics of gas flow is preferred.
• Knowledge of fans and process systems is preferred.
• Experience developing cost estimates and proposals for engineered equipment systems.
• Experience working with pollution control and product recovery equipment is preferred.
• Experience managing equipment design and supply projects is preferred.

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.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor based on Yb-Ba ions. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills.

The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

Qualification (s) – BE/ BTech/ MTech/MS/ PhD

Domain - Electronics, Electrical, Computer Engineering or Computer Science Engineering

Experience – 04 to 10 years

Highly motivated and driven to face the challenging design

problems

Architecture and Micro-architecture of complex digital SoCs

and mixed signals SoCs

Be able to communicate with system architects and decipher

system requirements and develop architectural specification of

the SoC

Understanding the future market requirements and develop

micro-architecture for the silicon to serve multiple generations

of market is a big plus.

Be able to micro-architect the chip considering low power and

high-performance techniques

Complete sign-off GDSII working with DV, DFT and PD

engineering teams.

Be able to comprehend usual service level agreement features

–

Power, Performance, Area and Customer Schedule, andaccordingly plan the development.

Preferred Expertise:

Architecting, micro-architecting and designing SOC for

embedded processors for storage, IoT, security and compute

applications

Functional safety, power management, coherency, security

Protocol knowledge - PCIe, NVMe, USB4.0, DDR, AXI, CHI,

AHB, MIPI, Display port, Ethernet

Design Techniques – Low-power, UPF, Clock Domain Crossing

(CDC), Booting/Reset Flow SW and/or hardware validation

Scripting Languages – Shell scripting, Python, TCL, PERL etc.

Job Description

• Develop verification plans based on design-related documentation, set up the verification environment, and complete verification from module level to system level.
• Execute regression testing and enhance verification coverage.
• Collaborate with chip design engineers to identify and resolve design defects.
• Guide the design team in implementing a verification-friendly design flow.
• Perform RTL-level, gate-level, and low-power verification with UPF (Unified Power Format).
• Assist FPGA engineers and software engineers in completing FPGA prototype testing.
• Ensure the integrity and correctness of chip designs from multiple dimensions.

Requirements

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Communications Engineering, or related fields. 3+ years of work experience.
• Experience in design or verification of peripheral modules, communication modules, or SoC systems.
• Proficiency in Verilog and expertise in C/SystemVerilog.
• Knowledge of one or more scripting languages such as Python, Ruby, Perl, Shell, Tcl, or Makefile.
• Experience with UVM (Universal Verification Methodology) is a plus.
• Familiarity with the digital chip development process and successful tape-out project experience is an advantage.
• Experience with formal verification is a plus.

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 an Sustainability Engineer (ESG) to be part of our Supply Chain Department diverse team of talent. You will be responsible to support Company’s Environmental, Social and Governance (ESG) projects.

What you will be working on:

Project Management

- Lead and manage ESG projects & initiatives from inception to completion, ensuring alignment with corporate sustainability goals.

- Develop project plans, timelines, and budgets, and coordinate resources effectively.

- Prepare Capex Justification presentation in an accurate and timely manner to facilitate Management Team decision making

- Project lead in a cross functional team to ensure project schedule is executed in a timely manner and meeting project budget

Supply Chain

- Assist and take lead to drive the initiatives especially on Scope 3 Emissions

- Assess and quantify upstream and downstream emissions from the organization’s value chain, including suppliers, products, and waste disposal.

- Collaborate with suppliers and partners to develop and implement emission reduction initiatives, such as sustainable sourcing practices and transportation efficiency improvements.

- Review Supply Chain SOP & OI and ensure they are updated to ESG requirements

Reporting and Compliance

- Support Supply Chain Department on Company’s requirements for reports on sustainability metrics, including greenhouse gas emissions, energy consumption, and waste generation.

- Ensure compliance with regulatory requirements and industry standards related to sustainability and environmental management.

- Handle Compliance, Internal, Exernal and Customer audits to ensure compliance

- Liaison with related government bodies on grant and commercial apects

Continuous Improvement:

- Monitor and evaluate the effectiveness of sustainability initiatives and recommend improvements based on data analysis and industry best practices.

- Stay updated on emerging trends, technologies, and regulations in sustainability and incorporate relevant advancements into project strategies.

More about you:

• Degree in Chemical/Gas, Mechanical, Environmental, health and safety & other engineering.
• Possess knowledge on ESG, IPCC, RCA
• Preferably 4-5 years purchasing experience or engineering experience in a front end semiconductor plant .
• Knowledge and relevant experiences in Conflict Mineral, Green Procurement is a bonus.
• Knowledge in handling audits for Scope 1 emissions is a bonus

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.

JOB HIGHLIGHTS

· Machine design in Mechanical aspect, Jig and Fixture, Equipment and development

· Provide Conceptual, mechanical part detailing and cost estimation

· BOM & machine manual writing

· Handle customers’ enquiries and issues

· Conduct machine acceptance with customer

· Co-ordination with sub-contractors for machine build

· Posses strong leadership quality and be self-motivated

· Experience in Solidwork 3D software to do mechanical design

· Good knowledge and experience in machine automation

REQUIREMENT

· Posses strong leadership quality and be self-motivated

· Experience in Solidwork 3D software to do mechanical design

· Good knowledge and experience in machine automation

· Able to work independently and within schedule

Geekplus is a global leader in mobile robotics technologies, providing innovative solutions for order fulfillment. With over 1,000 industry leaders using our systems, we deliver flexible, reliable, and efficient automation for warehouses and supply chains. Founded in 2015, Geekplus has more than 1,500 employees and offices worldwide, including in the US, Germany, the UK, Japan, South Korea, Mainland China, Hong Kong SAR, and Singapore.

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We are looking for a Service Engineer to join our team. Are you someone who is driven by curiosity and craves a good challenge? Join us and be part of this exciting adventure!

What you have to do

• Serve as the site supervisor, overseeing and conducting relevant site activities during project implementation in the APAC region
• Collaborate closely with project managers, contractors, and suppliers to manage overall site performance
• Prepare daily on-site logs and records for customer and internal team reviews
• During the service phase, conduct preventive maintenance and perform root cause analysis of production issues using diagnostic tools
• Prepare a training manual and provide training and support to customers and other external parties

What you need to have

• A bachelor's degree in mechanical engineering or related disciplines
• Solid experience in equipment/hardware installation, maintenance, and site supervision
• Knowledge of Warehouse Management Systems, or other related logistics systems
• Proficiency in AutoCAD and Microsoft Office
• Good IT skills, including knowledge of network infrastructure, is a plus
• Frequent travel is required

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What we offer

• Young and energetic work culture
• Opportunities for global mobility
• Double pay plus attractive performance bonuses
• Medical and dental coverage
• 14 to 21 days of annual leave
• Cozy office environment with refreshments
• Location: Tampines Plaza

If your qualifications, experience, and aspirations match our requirements, please send your resume with your current and expected salary to us. All information and materials submitted to Geek+ will remain strictly confidential and be treated for recruitment purposes only. Only short-listed candidates will be notified.

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 an Associate Engineer to be part of our Diffusion WET Process Department diverse team of talent.

What you will be working on:

• Perform shift duties (12-hour shift) to support the running of Production in the module and ensure that process integrity for machines is in place for production
• Assist Engineers in the qualification and fine tuning of processes for production
• Trouble-shoot process related issues and minimize the time lots are on hold
• Monitor and improve on the qualified process using SPC and other statistical tools
• Co-ordinate with Specialists to ensure that work is carried out efficiently to meet module objectives and that SOPs are strictly followed
• Assist in implementing process improvement projects
• Assist new Associate Engineers on their On-The-Job-Training (OJT) by acting as their buddy
• Participate in QIT programs to improve productivity and output quality of the module
• Work with QA on internal audit
• Create job-files for metrology tools for production set-up, and housekeeping of files
• Maintain good housekeeping in the production area, ensuring good safety practice and also safe custody of tools, equipment and other properties belonging to the Module

More about you:

• Diploma / ITC / NTC in Electrical / Electronics / Mechatronics / Mechanical/ Microelectronics / Chemical Process Technology
• Able to perform 12-hour rotating shift
• Team Player

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.

Job requirement:

• Ability to perform first level investigation out of control situation and line excursions, abnormal lot/tool judgement due to inline OOC and OOS from SPC Chart.
• Process condition optimization.
• Work closely with equipment and production to ensure key module objectives are met.
• Evaluation to improve process margin.
• Cost reduction projects.
• Ensure safety, discipline and housekeeping compliance by all personnel.
• Analyze different types of defects and provide clear problem description with maintenance counterparts on troubleshooting.

Job requirement:

• Diploma in Electrical/Electronics/Chemistry/Microelectronics/Engineering or equivalent.
• Relevant working experience in Photo Process semiconductor front-end industry
• Willing to work in cleanroom environment.
• 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