Total 425 software engineer job vacancies in George Town

Job responsibilities:

• Understand and interpret project specifications, philosophies, and drawings
• Perform the tasks in a project, as assigned by the lead or senior engineer.
• Carry out structural analysis and calculations using standard technical software packages like Staad.Pro and SACS as directed by the Lead or Senior Engineers.
• Perform Local design calculations (like design of deck plate, secondary beams / stringers, design of joint nodes and equipment support structures, etc.) using spreadsheets in Mathcad or Excel
• Prepare of Structural Design Input (SDI) for 3D Modelling
• Develop/update of tools such as spreadsheets for performing routine Structural Engineering calculations
• Review of the 3D model and Checking of Structural Drawings
• Develop / Update Structural Calculation Reports
• Collaborate closely with other Engineering disciplines to provide and receive inputs, for further engineering activities.
• Work closely with team members across disciplines within the organization to have a better understanding of processes and systems in the Company.
• Perform interdisciplinary checks on documents and drawings.
• Attend project meetings and actively participate in technical discussions
• Produce work packages for installation.
• Ensure that work is carried out in accordance with the specified QHSE requirements.
• Maintain a positive and safe working environment at work location.
• Comply strictly with Company’s code of conduct and always ensure ethical behaviour.
• Take ownership of your career by continually upgrading the competence level.

Work experience requirements:

• NA

Qualifications:

• Degree in Civil or Structural Engineering

Other skills:

• Strong analytical skills, systematic and structured approach
• Self-motivated, willingness to learn new skills and tools.
• Ability to communicate openly and directly.
• Ability to demonstrate responsibility and reliability.
• Excellent written, verbal and presentation skills
• Ability and willingness to work in a team environment to achieve project goals
• Computer Literacy in Microsoft Office

We regret that only shortlisted candidates will be notified.

Technical Sales Engineer - Battery Expert

• Office Location: Clementi Area
• Working Hours: Mon – Fri 8.30am – 6pm
• Monthly Salary: Base up to $3400 + Allowance + Commission + Variable Bonus (VB)
• Employment Type: Full time, Permanent Contract

Company Overview
The company is a well‑established Singapore‑based organization with a strong presence in both local and international markets. Recognized for the company’s commitment to quality, reliability, and innovation, the company provide effective solutions and services to a diverse range of clients across industries.

Responsibility

• Drive sales growth by achieving profitability targets and expanding distribution channels.
• Prepare quotations, proposals, and manage sales administration with accuracy and efficiency.
• Troubleshoot and resolve technical issues related to industrial batteries to ensure reliable product performance.
• Collaborate with the logistics team to coordinate timely deliveries and maintain high standards of customer satisfaction.

Requirement

• Minimum Diploma in Electrical/ Electronics/ Mechanical Engineering and recognized by relevant authority
• Minimum 3 year of proven relevant sales experience in Battery manufacturers or distributors/ AWP or MEWP rental companies/ Generator or power rental companies/ Industrial equipment rental or solution providers
• Strong interpersonal and communication skills
• Access to own/rent a personal vehicle for work-related travel
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.
Recruit Lync Pte Ltd | EA License Number: 22C1000
Chen Hoe Nam | EA Personnel License: R25158678

About Us: We are a leading AI and roboticscompany at the forefront of technological innovation, dedicated to creatingcutting-edge solutions that revolutionize industries. As we continue to grow,we are seeking talented Software Engineers to join our team.

Job Description: dConstruct is hiring C++ Software Engineers who will beperforming software integration for specific use cases. You will be coding,calling into our software stack and creating native cross-platform applicationswhich utilise our software stack to meet the needs of clients. You will beworking with clients to understand their needs and in turn, implement theirrequirements accordingly. You will be working alongside industry experts. Atthe same time, you will be familiarised with the entire robotics developmentand software workflow.

Responsibilities

·        Collaborate with productmanagers, designers, and back-end engineers to understand project requirementsand translate them into responsive and intuitive user interfaces.

·        Develop and integrate features and extensions to our software stack tosatisfy client requirements.

·        Create and maintain reusable andmodular front-end components to facilitate scalability and maintainability ofcode.

·        Implement and optimize front-endsolutions for cross-platformcompatibility and responsiveness

·        Work closely with UX/UI designersto ensure the feasibility and fidelity of design concepts on both desktop and tablet platforms.

·        Troubleshoot and resolve issuesrelated to front-end development, collaborating with cross-functional teams asneeded.

·        Occasionally aid in tests anddeployment of our robots in real world environments.

Requirements and Skills

·        Good foundation in modern C/C++ programming

·        Understand concepts in memory allocation, cache performance, data-orientedprogramming 

·        Understand fundamental concepts in user interface design andimplementation

·        Familiar and comfortable with theGit version control system

·        Able to do technicalcommunication to understand and explain the needs of end-users

·        Able to work independently withsome guidance

Bonus Requirements and Skills

·        Experience integrating Qt QMLwith C++

·        Familiarity with Qt QML or JavaScript

·        Good foundation in linear algebraand geometry

·        Proven record of launched digital products as a front-end engineer

·        Applicants with examples of their work will be prioritised

If you are aversatile engineerpassionate about creating seamless user experiences across desktop and tablet platforms, weencourage you to apply and contribute to our innovative development team.

How to Apply:

Please submit yourresume detailing your qualifications and interest in the position to careers@dconstruct.ai. If you have a portfolio or examples of your work, wewould love to see them!

Job Description

Get to Know the Team

The Demand Experiences team's mission is to help consumers enjoy maximum value through engaging and offers, while driving sustainable growth for merchant partners, Grab, and multiple businesses. We engineer platforms used by all business lines in Grab to use our vast reward and promo capabilities. Millions of consumers find our products user-friendly and people at Grab widely use our systems in every transaction they make. Our team members are in Indonesia, Malaysia and Singapore.

Get to Know the Role

We are looking for a Software Engineer who can not only write high-quality code daily but also build AI-powered tools and agents that improve how the team works. You have the determination to work on projects through the full life cycle while dealing with cross-team dependencies. You will be reporting to Engineering Manager II. You will help to identify any problem arises and apply relevant skills to solve them.

This role is onsite based in our Singapore office.

The Critical Tasks You Will Perform

• You will develop AI agent systems and LLM-powered tools that automate team workflows and reduce manual toil.
• You will work with the product and design team to understand requirements, own and implement product features from start to finish.
• You will write code that is reusable, scalable, and testable to ensure products are delivered on time and with high quality.
• You will integrate LLM APIs and prompt patterns into existing backend services to solve practical business problems.
• You will collaborate with QAs to make sure all product requirements are met and the deployments are stable.
• You will review code from other team members, provide constructive feedback and aim to raise the engineering bar.
• You will be responsible and responsive during on-call duty. Debug and troubleshoot production issues.
• You will provide technical guidance and knowledge sharing to peers.

Qualifications

What Essential Skills You Will Need

• You have a degree in Computer Science, Software Engineering, Information Technology or related fields.
• You have 2+ years of experience in software engineering in a distributed systems environment.
• You have Computer Science fundamentals in algorithms and data structures.
• You have programming skills in any language but must be willing to work on Golang.
• You have hands-on experience building applications with LLMs, prompt engineering, function calling, or agent frameworks.
• You are passionate about using AI to improve team productivity and building products to accelerate business growth.

Position Overview:

In this role, you will be the cornerstone of our hardware team, defining the micro-architecture and executingthe RTL implementation for our next-gen AI engines. You will tackle the industry's toughest challenges: balancing massive throughput with ultra-low latency. You will lead the design of complex datapaths, integrate RISC-Vsubsystems, and push the limits of PPA to deliver world-class silicon.

Responsibilities:

• Architectural Leadership: Translate high-level AI algorithms into robust micro-architecture specifications for high-performance compute engines.
• Core Design: Own the RTL implementation of critical modules, focusing on low-latency and high-throughput datapath optimization.
• Advanced Compute Units: Design and optimize high-efficiency ALU and specialized arithmetic units tailored for AI workloads.
• PPA Mastery: Drive the design through synthesis and timing closure, ensuring the silicon meets aggressive power and area targets.
• Technical Mentorship: Work closely with architecture and software teams to define the hardware-software interface and mentor junior engineers.

Qualifications / Requirements:

• Education: BS/MS/PhD in EE, CS, or related field with 10+ years of deep experience in ASIC Design and successful tape-outs.
• #Mastery of SystemVerilog/Verilog and a proven track record of designing complex, high-frequency digital logic. 
• Extensive experience in Datapath optimization, including pipeline balancing and advanced handshaking protocols.
• Expert knowledge of high-performance bus protocols and interconnect architectures. Proficiency in scripting (Python, Perl, or C/C++) for automation and modeling.

Preferred Skills:

• GPU/ALU Pedigree: Prior experience in designing GPU shaders, execution units (EUs), or high-performance ALUs. we value your expertise in complex arithmetic pipelines.
• RISC-V Expertise: Deep familiarity with RISC-V cores, custom instruction extensions, or vector processors.
• Leadership DNA: Proven experience as a Technical Lead, with the ability to build and inspire high-performing engineering teams.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations. 

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.
The Role

We are seeking a hands-on Machine Learning Engineer Intern to join our Model Engineering Team with a focus on Computer Vision and modern AI. This role is designed for builders who are passionate about training deep learning models, refining architectures, and scaling real-world vision systems.

You will work closely with experienced engineers on production-grade models, ranging from standard object detectors to cutting-edge zero-shot and open-vocabulary architectures. This is an ideal role for those who enjoy running experiments, analysing model behaviour, and driving measurable performance improvements.

What You’ll Do

• Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
• Architecture & AI Exploration: Research and experiment with CNNs, Transformers, and Foundation Models. You will explore the integration of modern AI to enhance open-vocabulary detection and zero-shot capabilities.
• Failure Analysis & Data Refinement: Debug model failures (false positives/negatives) and implement solutions through targeted data annotation, cleaning, or improved inference strategies to ensure model robustness.
• Data & ML Engineering: Manage large-scale datasets, including preprocessing and versioning, to ensure high-fidelity and reproducible experiments.
• Pipeline Automation: Contribute to the development and optimization of automated training and evaluation pipelines to improve reliability and deployment efficiency.

Who This Role Is For

• Builders: You prefer hands-on engineering and practical implementation over purely theoretical research.
• Experimenters: You enjoy the iterative process of testing different architectures, hyperparameters, and datasets to maximize performance.
• Problem Solvers: You are curious about root causes and enjoy the "detective work" required for model debugging and data-driven improvements.
• Pragmatists: You are excited to see your models and automated systems successfully deployed in real-world production environments.

Requirements

• Pursuing or completed a degree in Computer Science, AI, Machine Learning, or a related technical field.
• Strong interest in deep learning model training, experimentation, and data-centric AI.
• Proficiency in Python and experience with PyTorch or TensorFlow.
• Competency in a Linux environment (SSH, shell scripting, and CLI-based file management).

Bonus Points

• Hands-on Experience: Previous work with specialized CV frameworks or comparing multiple architectures.
• Modern AI Knowledge: Familiarity with vision-language models or zero-shot detection.
• MLOps Tools: Experience with Git, Docker, or experiment tracking tools (e.g., Weights & Biases, MLflow).
• Video Processing: Knowledge of OpenCV, FFmpeg, or handling video streams.

Internship Details

• Duration: Minimum 6 months (flexible).
• Commitment: 4–5 days per week.
• Location: Singapore-based

Note: Kindly note that only shortlisted candidates will be notified.

Revolutionize the future of autonomous driving with us. We are seeking a talented Frontend Software Engineer to join our Map Creator team. The successful candidate will be integral to the development of a cutting-edge, web-based semantic map annotation editor for our autonomous vehicles. This role involves managing massive-scale map data, by ensuring it can be edited, validated, and visualized, while maintaining great performance.  Furthermore, you will also take part in automating map generation processes and designing efficient user workflows to drive operational profitability. Your contributions will directly shape the future of transportation.

If you're passionate about building impactful, user-friendly solutions and thrive in a collaborative, innovative environment, this is the opportunity you've been waiting for.

What you'll tackle:

• Design, build, document, test, and maintain our web-based map editors and 3D visualizations, ensuring they handle massive datasets with ease.
• Craft clean, maintainable code that sets the standard for best practices across the team.
• Monitor, support, and resolve issues as they arise.
• Optimize web applications for peak performance, making sure our tools can handle terabytes of map data visualization, validation, and editing.
• Take ownership of projects, driving innovation and process improvements that elevate our entire workflow.
• Work hand-in-hand with Machine Learning teams to integrate automations, pushing the boundaries of what's possible in map annotation.
• Collaborate with diverse international teams to develop cutting-edge map solutions that meet the evolving needs of our researchers and engineers.
• Harness cutting-edge AI tools to supercharge your daily workflow, and actively contribute to integrating agentic AI capabilities directly into our development lifecycle.

Join our team if you:

• Possess a minimum of 5 years of experience as a frontend software engineer.
• Are a Typescript maestro and a React rockstar.
• Have a knack for UI/UX design, making complex tools intuitive and delightful.
• Write great design docs that clearly articulate technical proposals, architectural decisions, and implementation details for our mapping solutions.
• Have a rock-solid grasp of engineering fundamentals, such as observability, concurrency, parallelization, frontend architecture, and design patterns.
• Top-notch performance optimization skills.
• Love solving complex problems and are always eager to learn something new.
• Can bridge the gap between technical and non-technical international folks with your stellar communication skills.

Bonus points if you:

• Bring hands-on experience with geospatial data and modern mapping systems.
• Experience with 3D visualization libraries such as Three.js or DeckGL, or direct experience with WebGL and WebGPU.

Product area

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

 Job description

The High Touch Support team focuses on solutions and customer-centric supportability and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP). 

In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers, aiming to anticipate their needs, optimize product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.

Qualifications

Job responsibilities

• Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale.
• Develop an in-depth understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis.
• Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
• Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
• Experience creating content for technical audiences, and with web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
• Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices.
• Ability to communicate in English and Mandarin fluently to support client relationship management in this region.

Preferred qualifications

• Experience working with any public cloud services and infrastructure (e.g., Google Cloud Platform).
• Experience developing developer tools (e.g., automation, testing, debugging).
• Experience with cloud computing and debugging complex workload issues across large-scale, multi-node environments.
• Experience as a system/network administrator working with Linux/Unix systems, from kernel to shell, file systems, and client-server protocols.
• Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues.
• Experience with one or more of the following solutions: system virtualization, on-premise or hybrid cloud computing.

Product area

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

 Job description

The High Touch Support team focuses on solutions and customer-centric supportability and helps to avoid issues, build customer trust, and enable customer's growth and success on Google Cloud Platform (GCP). 

In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers, aiming to anticipate their needs, optimize product performance, and enable customer success. You will troubleshoot technical problems for customers with debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.

Qualifications

Job responsibilities

• Work with customers on their production deployments to resolve issues and achieve product readiness and availability.
• Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, build tools, and diagnosis.
• Serve as a consultant and subject-matter-expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud.
• Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production.
• Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical challenges, as well as travel up to 15% in-region for meetings and onsite delivery activities as needed.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development.
• Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices.
• Experience creating content for technical audiences, and with web technologies (e.g., HTTP, HTML, DNS, TCP, etc.).
• Ability to participate in on-call rotation, including non-standard working hours, nights, weekends and holidays.
• Ability to communicate in English and Mandarin to support client relationship management in this region.

Preferred qualifications

• Experience using techniques such as packet capture/packet analysis, artificial packet creation, load testing, and traffic path analysis to troubleshoot network latency, packet loss, and other performance issues at the packet level.
• Experience in developing developer tools (e.g., automation, testing, debugging).
• Experience working with any public cloud service and infrastructure.
• Experience in crisis response or escalation management across multiple teams, with the ability to influence momentum of incident response for critical customer issues.
• Knowledge of networking fundamentals (e.g., load balancing, cloud storage, peering, TCP/IP, etc.).
• Knowledge of Linux or Unix systems at a system/network administrator level.

Job Description

We are seeking a highly skilled Middleware SystemsEngineer to play a pivotal role in modernizing and standardizing our supplychain technology stack. You will be responsible for designing, implementing,and maintaining middleware solutions that facilitate seamless communication anddata exchange between:

● MiddlewareArchitecture: Support the designing andimplementation of a robust and scalable middleware architecture that addressesthe challenges of fragmented systems, integration issues, and legacyinfrastructure.

● SystemIntegration: Develop and manageintegrations between WMS, SAP, TMS, DBP, WES, and other relevant systems toensure efficient data flow and process automation.

● MessageExchange: Enablereliable and secure message exchanges between systems using appropriatemessaging protocols and technologies.

● Collaboration: Workclosely with the business units and project managers, IT team, external vendorsand other stakeholders to gather requirements, design solutions, and ensuresuccessful implementation.

● Monitoringand Troubleshooting: Implementmonitoring and logging mechanisms to proactively identify and resolve issues.

● PerformanceOptimization: Continuously optimizethe performance and scalability of the middleware infrastructure.

● TechnologyEvaluation: Stay abreast ofemerging middleware technologies and evaluate their potential for improving oursupply chain operations.

● ProfessionalInsight: Providetechnical advice to project managers/leaders and give technical direction toteam members.

JOB REQUIREMENTS

● Bachelor'sor Master's degree in Computer Science, Engineering, or a related field.

● 5-7years of experience in middleware systems engineering or a similar role.

● CertifiedMulesoft or equivalent middleware tools.

● Strongunderstanding of middleware concepts, integration patterns, and messagingprotocols.

● Hands-onexperience with middleware platforms such as MuleSoft, Apache Kafka,Boomi, orsimilar.

● Experiencewith Grocery and supply chain platforms like ERP, WMS, is a plus.

● Excellentproblem-solving and analytical skills.

● Abilityto work independently and as part of a team.

● Strongcommunication and interpersonal skills.

Benefits:

● Opportunityto work on challenging and impactful projects.

● Adynamic and collaborative work environment.

● Opportunitiesfor professional growth and development.

Job Description

The National Quantum Federated Foundry (NQFF) is seeking a research engineer to join a multidisciplinary team developing essential quantum hardware and device components. The candidate will join our efforts spanning multiple quantum technology platforms ranging from trapped ions to integrated photonics and superconducting devices.

About the role

You will be embedded in a team of research scientists and engineers, contributing hands-on to the development and characterisation of quantum hardware. Based on your strengths and experience, your work will be shaped around one or more of the following focus areas:

• Device Fabrication & Engineering — Perform device fabrication and support the development and optimisation of the processes: this may include cleanroom-based nanofabrication work, electrical assembly (wirebonding, soldering, etc), and prototyping (machining, 3D printing, etc).
• Optical & Photonics Engineering — Perform optical & electrical characterization of photonics devices; construct and maintain optical measurement setups for device testing; data analysis and feedback towards improved device designs.
• Cryogenic Systems & Measurements — Set up, operate, and maintain cryogenic systems (incl. dilution refrigerators, cryostats); integrate and test quantum devices at (down to) millikelvin temperatures; develop automated testing workflows, acquire and analyse experimental data.

What we’re looking for:

• Bachelor’s degree in physics, applied physics, electrical engineering, material science & engineering, mechanical engineering, or a related discipline.
• Hands-on laboratory experience relevant to one or more of the focus areas above
• Familiarity with experimental data acquisition, analysis, and presentation
• Strong communication skills and a collaborative working style

Experience in any of the following would set you apart:

• Optical setups and laser systems
• Electrical/RF electronics and associated test equipment
• Cleanroom nanofabrication
• Mechanical design with CAD software
• Programming (especially in Python) lab equipment for testing automation

About NQFF:

The National Quantum Federated Foundry (NQFF) is a national quantum programme supporting Singapore's quantum R&D ecosystem and industry partners. Functioning as a research foundry, NQFF covers the full device development cycle — from design to fabrication and characterisation — with the goal of translating next-generation quantum devices towards real-world applications.

NQFF is hosted at A*STAR IMRE, with teams operating across A*STAR IME and the National University of Singapore (NUS).

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:

• Monitor and report on the progress of works
• Carry out inspection of engineering works prior to concreting, subsequent construction work and defects rectification works
• To carry out supervision and inspection of the works as directed by the Supervision QP, CRE, SRE, consultants or Superintending Officer
• To manage and supervise the Resident Technical Officer under his charge
• Ensure records of all engineering works including records of tests, defect rectification, inspections, work progress, material and equipment on site, safety, etc, are timely updated and properly kept
• Attending site, progress, variation and coordination meetings
• Verifying all reports and claims submitted by the contractors

Requirements:

• Possess degree in Civil/ Structural Engineering from a recognized university by PE Board Singapore
• Registered Resident Engineer with the Joint Accreditation Committee (JAC) of the Institution of Engineers Singapore (IES)and the Association of Consulting Engineers Singapore (ACES)
• Minimum 10 years' experience in supervision of institutional development with strong knowledge in civil engineering work, bored piling, structural steel and reinforced concrete construction
• Must be familiar with local regulations/ codes for civil & structural related to building projects
• A good team player and experience in leading a team of Resident Technical Officers
• Strong ability to interpret the Contract documents and drawings on the works to be carried out
• Ability to resolve site and technical issues, prepare and document detailed site progress reports
• Good knowledge in Microsoft Word and Excel
• Possess effective communication skills and able to interact with people at all levels

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32622-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32620-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32618-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.