Overall Summary:

Senior Network Engineer will drive the implementation of strategy for infrastructure operations and maintenance to ensure availability of stable and secure systems. He/She manages project resource allocation and develops infrastructure implementation, operations and maintenance engineers; scopes out policies and sets performance expectations. He identifies problems and presents new methodologies and/or solutions to key stakeholders to enhance and improve the delivery of infrastructure operations and maintenance services.

Roles and Responsibilities:

Support infrastructure design and implementation

• Support technical system analysis to determine the extent to which solutions perform “as required” to ensure that future solutions meet anticipated demand
• Support the design and implementation of infrastructure solutions that adhere to current architecture standards
• Lead the design installations, system migration and integration
• Lead the testing and handover of implemented infrastructure solution

Support infrastructure operations

• Support delivery of optimal infrastructure operations
• Create documents on administration, installation, configuration and troubleshooting
• Apply diagnostic tools to perform technical analysis of complex software, hardware and infrastructure equipment
• Support the development of report on infrastructure capabilities and limitations

Maintain infrastructure

• Support the improvement of maintenance capability by using automation for upgrades, enterprise backup and storage
• Identify key infrastructure operations issues and maintenance priorities
• Support the implementation of agreed infrastructure change requests and maintenance routines
• Develop report on performance and availability of infrastructure systems by review of service uptime, utilisation, throughput etc.

Optimise infrastructure performance

• Support the initiatives to improve the infrastructure systems and service delivery through automation and virtualisation technologies
• Support the monitoring of performance, availability and security of infrastructure systems and key operational metrics

Resolve incidents

• Support problem/issue identification and resolution
• Escalate problems/issues
• Support simulation of user problems to resolve operating difficulties
• Diagnose problem source through discussions with users
• Recommend system modifications to reduce user problems
• Support planned maintenance events, system backup processes and disaster recovery drills
• Support implementation of preventive solutions

Qualifications/ Requirements:

• Bachelor in Computer Engineering
• Possessed CCNA, CCNP, CCIE is preferred.
• At least 5-8 years of network experience
• Experience in leading a team of 3-5 network engineer.
• Familiar with Cisco, F5, VM
• Exposure to large scale project execution
• Open to support patches/ upgrades and Tech refresh (after office hours/ weekends)

Responsible in the preparation of line index, tie-in list, piping layout and information, loading calculation, MTO sketch, BM/BQ, and 2D/3D CAD modeling of piping system, equipment and structure, interference detection, and model review.

Has the technical responsibility for developing stress/vibration sketch/model, and mechanical data, for interpreting moment, stress, reaction force, and displacement, and for coordination these responsibilities with reports to ensure timely completion that meets project schedule and budget.

Duties & Responsibilities:

• Studies ITB, project and design basis such as scope of work, overall project schedule, basic design data, client specification, client standard drawings, existing drawings, and plot plan through the guidance of Senior Piping.
• Prepares line index, tie-in list, piping layout, piping information, loading calculation, steam trace layout, MTO sketch, BM/BQ, plan and isometric drawing in compliance with project standards, specifications, contract requirements, and accepted engineering and construction practices.
• Selects line which requires stress/vibration sketch following the criteria set for analysis and evaluation, prepares mechanical data, and performs calculation for initial displacement with assistance of Senior Piping Engineer.
• Assists in developing model for stress/vibration analysis, interprets and evaluates result, and recommends method of resolution to comply with applicable vendor’s allowable or code requirements.
• Performs highly specialised 3D CAD modeling of equipment, structural, and piping system, interference detection, annotation, model review, and plan drawing extraction according to project 3D modelling procedure and by the use of PDS Intergraph or SP3D CAD software.
• Prepares steam trace piping drawings and pipe support drawings in 2D CAD format.
• Assists the Senior Piping Engineers or project Key Person in field survey work to develop conceptual routing, verify tie-in location, and other related activities.
• Performs other tasks that may be assigned or designated to him/her by his/her superior.

Requirements:

• Bachelor’s Degree in Mechanical or Chemical Engineering with 5 years of experience.
• Training will be provided.
• Ability to use computer equipment and peripherals to carry out routine computing and 2D/3D CAD tasks. Ability to adapt with changes due to upgrading of computer software. Capable to utilize AutoCAD/Cad Pipe /Microstation 2D CAD; PDS Intergraph and SP3D softwares with minimal assistance.
• Ability to apply mathematical concepts in piping calculations such as exponents, logarithms, trigonometric functions, quadratic equations and other applicable formulas.
• Ability to read, analyse and interpret common technical information, reports and instructions. Ability to respond to common inquiries or complaints from clients and ability to write effective minutes of meeting and other related business communication.
• Strong analytical and reasoning abilities.
• Good interpersonal and communication.

Responsibilities

• Perform a full lifecycle product development (design, develop, test prototypes, manufacture and implement)
• Design systems and components that meet needs and requirements
• Produce outline designs
• Conduct experiments methodically, analyse data and interpret results
• Test and evaluate theoretical designs
• Identify, formulate and produce effective solutions to emerging problems
• Evaluate final product’s overall performance, reliability and safety
• Alter and modify design to meet requirements and to eliminate malfunctions
• Estimate budget and scope of project
• Solicit observations from operators
• Prepare product reports and documentation
• Engage in lifelong learning and develop new theories or methods

Key Responsibilities:
Provide day-to-day technical support and maintenance services, including troubleshooting and problem resolution
Monitor and maintain IT infrastructure, including servers, networks, and software applications
Assist in the implementation and upgrade of new IT systems and solutions
Communicate with vendors and clients to ensure technical needs are met
Write and update technical documentation and operation manuals
Participate in project planning and execution to ensure project goals are met on time
Track and report IT support incidents and problem resolution progress
Continuously learn and update technical knowledge to stay industry-competitive

Basic Requirements:
1-2 years of relevant work experience
Diploma in Computer Science, Information Technology, Computer Engineering, or a related major

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He/She will be responsible for conversion of signal processing concepts (theoretical or prototyped in MATLAB or C-Language) into algorithms to be implemented into embedded DSP or ARM processors. He/she will also work together with audio research team members to evaluate, benchmark internally developed cutting edge proprietary speech/hearing algorithms which will be implemented in a range of high-volume audio product lines for customers. He/she will be responsible for understanding DSP hardware structure such as memory management and processor pipeline. He/she will be responsible for DSP software development & validation including requirement analysis for algorithm implementation, support patent applications efforts and support internal or external customer developments.

Job Responsibilities:

• Design, document and implement DSP audio software modules based on allocated requirements of the DSP architecture
• Develop novel DSP based algorithms for embedded audio systems
• Work with and particpate in research activities together with research team members on the implementation of speech/hearing algorithms
• Collaborate with Sales/Engineering teams in productization, verification, testing and patent application of newly developed algorithms
• Perfom Design and Code reviews with members of the development team
• Perform Defect Analysis and remove defects on developed solutions
• Adhere to software development process defined for the develpment team
• Enhance or update existing software algorithms as required or effective algorithm function improvements
• Writing effective code, making it more streamlines & readable
• Work well with company's partners and vendors

Job Requirements:

• Minimum with a Degree in Engineering with exposure to Signal processing applications
• At least 5 years of experience in embedded real-time firmware development with emphasis on computaional complexity
• Prior experience in DSP development and implementation with an emphasis on audio implementations is preferred
• Proficient in C/C++, Shell scripting

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.

We have a few openings for Research Fellow or Research Engineer. The selected applicant is expected to lead and pursue high-quality research in applied artificial intelligence (e.g., physics-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world implementations. If interested, please send your resume including a cover letter, CV and a brief statement of your work undertaken in previous work.

The Singapore Institute of Technology (SIT) is a public autonomous university and the third largest university by intake in Singapore. SIT’s mission is to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. Singapore is the small city with a big dream. We are home to the best talent and have the world’s highest per capita investment in science and technology.

Key Responsibilities:

• Collaborate with partners from both the academia and the industry to lead and/or conduct innovative research on, but not limited to physics-informed neural network, transfer learning, and edge intelligence, battery management, etc.
• Contribute to academic research in the relevant domains and publish high-tier journal papers and conference papers.
• Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met.
• Coordinate procurement and liaison with vendors/suppliers.
• Participate in computer science related laboratories and tutorials for undergraduate students.
• Interview and supervise student assistants in the project.

Job Requirements:

• (Research Fellow) PhD in Computer Science or a related field
• (Research Engineer) Bachelor/Master degree in Computer Science or a related field
• Proven ability to conduct independent research with a relevant publication record
• Outstanding data analytics, mathematical, and computer modelling skills
• Excellent interpersonal communication and oral presentation skills in English
• Self-driven and strong team spirit
• Open to fixed-term contract (renewable upon review of satisfactory performance)

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

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

Responsibilities:

• Develop software in embedded Android/Linux devices including software design as well as implementation and customization of solutions using Android/Linux operating systems.
• Perform system tunning/optimization and improve system stability using a strong background in embedded system,operating system, and multi-thread programming.
• Involved in system architecture and design and system requirements definition.
• Participate in requirements gathering, drive solutions, test, deploy, maintain and enhance embedded implementations.
• Ability to interpret and evaluate designs and assist in resolving firmware issues.
• Ability to conduct design reviews and incorporate knowledge of real-time embedded Android/Linux firmware.

Requirements:

• Degree in Electronic/Electrical/Computer Engineering/Computer Science, Software Engineering or related field.
• Good understanding of embedded Linux architecture.
• Minimum 8 years of hands-on experience with embedded Linux operating system, frameworks development, and C/C++.
• Minimum 5 years of hands-on experience with Linux bootloader and kernel.
• Must be able to develop solutions at the Linux device driver and HAL layers.
• Able to develop in Android Framework layers is an advantage.
• Experience working in a collaborative and distributed team environment.
• Proficiency in the use of debugging tools (ADB, JTAG, Kernel debug) applied to areas such as power management, task control, and memory management, as well as other complex debugging situations.
• Excellent teamwork skills, flexibility, and ability to multi-task.
• Able to manage one's time efficiently.

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

Join the Institute of Microelectronics (IME) to be immersed in cutting-edge semiconductor research. As a research institute within the Agency for Science, Technology and Research (A*STAR), IME bridges the gap between academia and industry. Our mission is to accelerate innovation in advanced packaging, piezoMEMS, SiC, RF/mmWave GaN, and photonics & sensors, and to develop talent and inspire in Singapore.

We are looking for a passionate individual to join our Technology-Business Development department. You will be responsible for sales and marketing, account management and industry development. If you're excited about the future of microelectronics and wish to contribute to the development of Singapore's innovation engine for microelectronics, we want you on our team!

Job Responsibilities

• Perform market intelligence, develop and execute go-to-market plans for commercialization of IME's research capabilities.
• Lead industry and customer engagements, understand their needs and work with Technology Development teams to formulate value propositions.
• Structure, review and negotiate contracts with industry partners and customers.
• Develop industry network, manage accounts and build relationships to win and retain industry partners and customers.

Job Requirements:

• Degree in Science or Engineering.
• Ability to think on the feet
• Result-oriented, analytical, proactive, resourceful and team player
• Good communication, presentation and interpersonal skills
• Resilience and adaptability to work in a fast-paced and fast-changing environment
• Passion to develop Singapore's semiconductor industry

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.

Job Description:

- Perform Civil, Structural Analysis and Design to meet project specifications

- Coordination and Liaise with Clients, Authority and Other Consultants, Contractors on Projects

- Ensuring Good Project Documentation and Submission to Authority and Clients

- Attend Project Meeting and Perform Inspections on Designed Works

- To Lead and Mentor Junior Engineer in Performing Engineering Task

- Reporting to Principal Engineer / Management

Job Requirements:

- Candidate must possess at least a Master's Degree /Bachelor's Degree / Post-Graduate Diploma / Professional Degree in Engineering (Civil/ Structural) or equivalent, recognized by Professional Engineering Board of Singapore

- At least 4 Year (s) of working experience in the related field is required for this position

- Good Working Attitude, Self-Motivated, Positive Thinking, Independent, Discipline, Attention to Details and Ownership of Tasks

- Familiar with Local Design Standard and Code

- Knowledge of Design Software, e.g., STAAD Pro, Plaxis, AutoCAD will be added advantage

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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.

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 3 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 3 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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

Responsibilities:

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

Requirements:

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

Responsibilities:

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

Requirements:

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

Summary:

• Basic up to 4.5k
• Performance bonus
• 5 days work week
• Location: Pioneer
• MNC company
• Career Advancement
• CNC machines

Key Responsibilities:

• To repair & service CNC machines in the region
• To implement service programmes for customer service
• Machine Installation
• Documentation (Service report, Machine registration, filing and record)
• Other related adhoc duties

Key Requirements:

• Min Diploma in Electrical / Mechanical Engineering
• Min 2 years of relevant experience in servicing CNC turning / milling machines
• Possess own vehicle

Interested applicants, please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

As part of IME’s Photonics & Sensors Department, the candidate will take lead of the development of various testing capability for advanced photonics, including but not limited to chip-level and wafer-level testing of optical devices and electro-optical devices at high RF frequencies, as well as the testing of electro-optical sub-modules and sub-systems. You will work closely with an excellent multidisciplinary team working on advanced photonics.

Responsibilities:

• Develop various photonics testing capabilities for both chips and wafers, including design and building of measurement setups
• Perform chip-scale and wafer-scale data collection for OE, EO and OO devices from frequency range of 0 to 110 GHz
• Optimize data acquisition and analysis process to improve test efficiency, e.g. automation of measurement processes for wafer-scale testing and corner analysis
• Manage photonics laboratory including facilities, health and safety, equipment calibration, inventory and stocktake
• Take the lead to procure laboratory equipment and consumables
• Prepare technical presentations and papers for internal meetings, as well as conferences and journals
• Collaborate with project team to ensure quality and on-time delivery for various projects
• Performs other duties as assigned.

Qualifications:

• Bachelor’s or master’s degree in Physics, Electronic/Electrical Engineering, Photonics, Opto-electronics or equivalent
• More than 5 years hands-on experience in active photonics/optoelectronic device testing, especially for high-speed optical modulator and photodetector devices and electronic-photonic integrated circuit.
• More than 5 years hands-on experiences in optical setup construction and semiconductor & optoelectronic device characterization
• Experienced on experimental data acquisition and analysis
• Skillsets in programming or instrument automation is a plus
• Strong skills in problem-solving, communication and providing technical presentations
• Industry experience and awareness is a plus

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

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.

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

Candidate will also be responsible for developing and executing marketing strategies to promote NGTC’s capabilities to interested parties.

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group, Institute of Microelectronics or various other public sector agencies.

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor ecosystem.

As part of IME Integrated Circuit Design and System Department, we are seeking a candidate with relevant experience in analog integrated circuit design. This candidate will contribute to developing analog circuit blocks e.g. low-power operational amplifiers, voltage/current references, and voltage regulators based on thorough topology analysis. This candidate will work closely with other team members for the circuit design, test verification, as well as system integration and validation for a broad range of innovative sensor systems.

Role & Responsibilities

• Circuit schematic design and simulation, layout supervision, pre-tapeout design verification, test plan development and chip measurement
• Work together with teams to investigate novel circuit/system solutions to create new inventions

Requirements

• Bachelor’s / Master’s degree in Electronic Engineering
• Good understanding of CMOS analog IC design methodologies
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Able to generate high-quality scientific publications and patents
• Team player, quick learner and self-driven

Summary:

• Salary up to 6k+
• MNC company - stable revenue
• Transport allowances
• Own a vehicle
• Location: Pioneer
• 5 days work week
• Sales experience in precision engineering related products

Key Responsibilities:

• Develop new business opportunities & sales leads for revenue growth and customer retention
• Achieve sales targets and analyst current market trends and industry information
• Pitch, recommend and fulfil the requirement of customer in terms of products and services offered
• Work closely with the production, application and shipping team to ensure timely delivery and that all order requirements are met
• Attend problem and generate solution
• Other related ad hoc duties

Key Requirements:

• Min Diploma in Mechanical Engineering or equivalent
• Sales experience in precision engineering related products
• Strong technical knowledge in CNC
• Own a car

Interested applicants, please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

Candidate will be required to develop, secure and manage industry partnerships for the NGTC. Candidate should stay updated on RF/mmWave GaN market trends and conduct thorough market research and competitive analysis on companies, competitors and the market for actionable insights. This may involve conducting SWOT analyses to enable NGTC to come up with a strategic plan to optimise business and research collaborations.

Candidate will also be responsible for developing and executing marketing strategies to promote NGTC’s capabilities to interested parties.

Candidate will be required to work alongside various internal and external stakeholders and teams to develop NGTC’s strong value propositions and assist with market intelligence to shape the NGTC’s strategies.

Candidate will be required to carry out account management of companies for NGTC to strengthen customer relationships.

Candidate will be required to coordinate and engage with internal stakeholders such as A*STAR’s Industry and Enterprise Group, Institute of Microelectronics or various other public sector agencies.

Requirements:

• Degree in Science or Engineering
• Minimum 5 years of relevant working experience, preferably with a background in GaN technology and industrial commercialization.
• Able to structure and negotiate collaboration agreements.
• Strong analytical skills.
• Strong communication (written and verbal), marketing and interpersonal skills.
• Results oriented, pro-active, and a team player.
• Adaptable and comfortable working in a fast-paced and fast-changing environment.
• Passion to develop Singapore’s semiconductor ecosystem.