Total 425 software engineer job vacancies in George Town

Responsibilities

• Assist and support Project Managers in the execution of projects as part of the project team
• Provide technical support in various stages of project, including conceptual design, design development, contract documentation, authority submissions, contract administration, site meetings, etc
• Prepare schematic design, layout, calculations, technical reports and specifications, etc
• Liaise with external consultant teams, architects, contractors and suppliers to resolve project issues
• Supervise and review the work of Assistant Engineers, Designers and/or Drafters in the project team
• Discuss and propose solutions to technical issues and improvement on design standards
• Develop technical knowledge and competency

Requirements

• Candidate should possess at least a Bachelor's Degree in Engineering (Mechanical)
• No work experience required.
• Preferably Entry Level specialized in Engineering - Mechanical or equivalent.

MFP Management

• Manage and maintain a fleet of Ricoh MFPs.

• Troubleshoot basic issues and escalate when required.

• Monitor and manage print solutions (e.g., Papercut, Printanista).

• Perform preventive maintenance and replace consumables when needed.

Print Room Operations

• Process and deliver print jobs accurately and on time.

• Operate print room equipment such as cutters, laminators, wide-format printers, and other devices.

• Maintain a clean, safe, and organized print room environment.

• Monitor and manage paper, consumables, and supplies inventory.

Record Keeping & Reporting

• Document and report incidents, maintenance tasks, and repairs.

• Maintain detailed usage records of equipment and consumables.

Administrative Duties

• Tabulate, report, and submit monthly meter data.

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

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Qualifications

Job responsibilities

• Design and build agentic analytics systems leveraging Large Language Models (LLMs) and AI to automate insight generation and workflows. Translate product needs into production-grade data systems (models, pipelines, and services).
• Lead the design and coordination of analytics infrastructure powering product analytics across Payments.
• Build AI-native analytics workflows, embedding intelligence directly into data and decision systems.
• Partner with Product, Data Science, and Engineering to shape problem definitions and deliver the solutions.
• Drive data quality, reliability, and governance standards across critical analytics systems. Build internal tools and frameworks to enable self-serve analytics and faster iteration for product teams.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience coding in Python and SQL.
• 5 years of experience designing and deploying data pipelines, including managing data schemas and processing data volume workflows.
• 5 years of experience working with machine learning operations and data architecture design.

Preferred qualifications

• 5 years of experience designing enterprise-scale data platforms and analytics infrastructure.
• 5 years of experience with AI/LLM-based systems, agentic workflows, or intelligent data applications.
• 5 years of experience with using Gemini Command-line Interface, Cider Agents, LLM Extensions, Agent Development Kit (ADK) Agents etc.
• 3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders or customers.
• Experience with Machine Learning for production workflows.
• Ability to operate across ambiguity and influence cross-functional technical decisions.

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/Software-Engineer-%28Cancer-Science-Institute%29/32401-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code

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/Software-Engineer-%28Cancer-Science-Institute%29/32400-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code

My Client:

My client is a global technology company focused on advanced semiconductor and high-performance computing systems. The engineering team is dedicated to building next-generation ASIC solutions across advanced process nodes, supporting large-scale compute-intensive applications.The team operates in a highly technical and fast-paced environment, with strong emphasis on physical implementation, performance optimization, and full-chip delivery. They are currently expanding their physical design team to support growing project demands across advanced nodes.

Job Responsibilities:

• Perform end-to-end physical design implementation from netlist to GDSII for advanced ASIC projects.
• Work on key stages including floorplanning, power planning, placement, clock tree synthesis (CTS), routing, and optimization.
• Drive timing closure across MMMC scenarios, including setup/hold fixing, clock optimization, and ECO implementation.
• Conduct physical verification and signoff tasks (DRC, LVS, IR drop, EM analysis) to ensure tape-out readiness.
• Optimize power, performance, and area (PPA) through iterative design improvements.
• Collaborate closely with front-end design, DFT, and signoff teams to resolve integration and late-stage issues.
• Contribute to design methodology improvements and automation through scripting and tooling enhancements.

Job Requirements:

• Bachelor’s degree or above in Microelectronics, Electronic Engineering, or related fields.
• Understanding of physical design flow and IC development process.
• Familiarity with PnR tools such as ICC2, Fusion Compiler, or Innovus.
• Knowledge of timing analysis, power optimization, and physical verification concepts.
• Basic scripting skills (TCL / Python / Shell) for automation is a plus.
• Strong learning ability and willingness to work in advanced technology environments.

What They Offer:

• Opportunity to work on cutting-edge semiconductor projects at advanced technology nodes.
• Exposure to full-chip design flow and large-scale ASIC development.
• Competitive compensation and long-term growth opportunities.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R26160730

Business Registration Number: 201735941W. Licence Number: 18S9037

My Client:

My client is a fast-growing global technology company building high-performance chip systems for large-scale computing applications. The engineering team focuses on digital front-end design and verification, delivering robust and scalable ASIC solutions.The team works in a highly collaborative and engineering-driven environment, combining RTL design, verification methodologies, and system-level optimization. They are currently expanding their front-end engineering team to support next-generation chip development.

Job Responsibilities:

• Design and implement RTL modules using Verilog/SystemVerilog for ASIC/SoC projects.
• Develop and execute verification plans, including testbench development using UVM methodology.
• Perform functional verification, debugging, and coverage analysis to ensure design correctness.
• Participate in SoC integration, testability (DFT) design, and overall front-end development flow.
• Collaborate with architecture, physical design, and software teams to ensure seamless integration.
• Contribute to automation and tooling improvements using scripting languages.

Job Requirements:

• Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or related fields.
• Understanding of digital design fundamentals and IC development flow.
• Familiarity with Verilog/SystemVerilog and basic RTL design concepts.
• Exposure to verification methodologies (e.g., UVM) is a plus.
• Basic scripting skills (Python / Shell) preferred.
• Strong analytical thinking, problem-solving ability, and learning agility.

What They Offer:

• Opportunity to work on advanced ASIC/SoC projects with real-world impact.
• Exposure to both design and verification in a full front-end flow.
• Clear career progression in chip design and verification domains.

About Us

Dada Consultants was established in 2017, with the commitment of providing the best recruitment services in Singapore. We are comprised of a dynamic head-hunting team dedicated to sourcing for highly competent professionals in IT industry. We provide enterprises with customized talent solutions, and bring talents to career advancement.

If it sounds like your next move, please don’t hesitate to apply. Kindly note that only shortlisted candidates will be contacted. Appreciate your understanding. Data provided is for recruitment purposes only.

www.dadaconsultants.com

EA Registration Number: R26160730

Business Registration Number: 201735941W. Licence Number: 18S9037

Key Responsibilities

· AI-RAN Architecture: Design and deploy AI-RAN virtualization pipelines, integrating deep learning models (e.g., CNN, LSTM) with RAN systems using PyTorch and TensorRT on NVIDIA GH200 platforms for real-time 5G optimization.

· 5G NR Physical Layer Development: Architect and optimize CP-OFDM and DFT-s-OFDM waveforms, supporting flexible subcarrier spacing (15/30/60 kHz), and implement Polar and LDPC channel coding for PUSCH/PDCCH per 3GPP TS 38.212.

· Channel Estimation and Beamforming: Develop DMRS/PTRS-based channel estimation algorithms (LS, MMSE) under multi-path fading conditions, and optimize Massive MIMO beamforming to enhance spectral efficiency.

· Protocol Stack Implementation: Engineer RRC, PDCP, MAC, and RLC layers, implementing slot-based scheduling and dynamic TDD per 3GPP TS 38.321/38.322/38.323/38.331, ensuring robust protocol performance.

· Fronthaul and Time Synchronization: Design eCPRI/CPRI fronthaul interfaces and configure PTP synchronization (C1/C2/C3 formats) using ptp4l, ts2phc, and phc2sys for sub-microsecond precision across CU, DU, and RU.

· Cloud-Native Deployment: Deploy 5G L1/L2/L3 stacks on Kubernetes and Openshift, leveraging SR-IOV, KMMO, and Operator frameworks to achieve high availability and scalability.

· Embedded Systems Optimization: Develop DPDK-based KNI modules and PCIe/QDMA interfaces for FPGA integration, optimizing thread design, core binding, and memory control for ultra-low-latency 5G processing.
Qualifications

Required Skills and Experience

· Education: Bachelor’s degree in Electrical Engineering, Telecommunications, or related field.

· Programming Expertise: 10+ years of experience in C/C++ and CUDA C programming, with proficiency in GPU-accelerated 5G signal processing (e.g., CP-OFDM, Massive MIMO).

· 5G NR Expertise: In-depth knowledge of 3GPP NR standards (TS 38.211, 38.212, 38.213, 38.321, 38.322, 38.323, 38.331), with hands-on experience in Polar/LDPC coding, DMRS-based channel estimation, and slot-based scheduling.

· AI-RAN Virtualization: Proven track record in deploying AI-RAN systems on cloud-native platforms (Kubernetes, Docker, Openshift), with experience in SR-IOV, KMMO, and Operator development.

· Embedded Systems: Expertise in Linux kernel programming, multi-threaded development, and DPDK/ODP for KNI and QDMA bus optimization.

· Time Synchronization: Proficiency in 5G PTP synchronization (ptp4l, ts2phc, phc2sys) for C1/C2/C3 formats.

· Cloud-Native Technologies: Strong experience with microservices, load balancing, and distributed systems (e.g., Spring Boot, Zookeeper, Kafka).

Preferred Skills

· Experience with NVIDIA GH200 or Marvell 95XX/105XX platforms for 5Gacceleration.

· Familiarity with SCF FAPI and LTE physical layer protocols (TS 36.211, 36.212, 36.213).

· Certification in Openshift Operator Development or 3GPP NR Physical Layer Specialization.

· Proficiency in Python, Perl, Java, or TCL for automated test architecture development.

At Nas, we’re building the future of online business. Our AI-powered platform helps solopreneurs and professionals transform ideas into thriving digital products—fast, simple, and low-cost. With Nas.io, anyone can go from concept to creation: launch a product, find their first customers, and generate their first revenue online in minutes.

Founded by the team behind Nas Daily, whose content reaches over 500 million people every month, we are a global team of 100 people serving users around the world, united by one mission: to make starting and scaling an online business easier than ever before.

It’s everything you need, and more. Explore more on https://nas.com

Why work with us:

We hope a big part of this "why" already comes from "Who we are". But beyond that, as a company, we are proud of our culture and the risk we are willing to take on

you

to give you the best opportunities in your career.

• You seek trust and autonomy. We achieve that with transparency, discipline and ownership. Take a look at our values on https://www.nas.co/about. You can raise any question, challenge any decision, and drive any changes, as long as your goal is to get better together.

• You have a growth mindset and thrive in a fast-paced and fun environment. We have a strong engineering team with senior members from leading tech companies to accompany you on your journey. And we will give you challenging and interesting work, as we have a lot to build.

• You enjoy diverse and vibrant exposures in your working environment. We are a diverse bunch of over 18 different nationalities, spread around the world from Singapore, UAE, India, Pakistan, Israel, South Africa, the Philippines, etc. We won’t let anyone feel alone. We have company-level retreats yearly to gather together. Our customers are content creators and influencers from all over the world.

• You want to do well financially. We offer a competitive salary with a substantial share package. If the company is doing well financially, so will you.

You want to explore yourself inside and outside the engineering domain. We will give you the opportunity, as long as you prove your capabilities.

What you will be working on:

As a Frontend Engineer at Nas.io, you will be responsible for:

• Building and maintaining a responsive web application: You’ll focus on building intuitive, frictionless, visually appealing user interfaces across various domains, including CMS, CRM, messaging, payment processing, media handling, e-commerce, ads, and AI-driven features.

• Optimizing frontend performance and SEO: You’ll be responsible for ensuring that our web applications are highly performant, responsive, and accessible. This includes optimizing load times, managing complex UI states, keeping our pages clean and semantic, and ensuring compatibility across various devices, browsers and regions.

• Maintaining the codebase and ensuring continuous delivery: You’ll be responsible for keeping the codebase clean, modular, and well-documented. You’ll also implement and manage CI/CD pipelines to automate testing and deployment, ensuring fast and reliable delivery of requirements.

• Collaborating with product and business teams: You’ll work closely with these teams to build, test, and deliver features on time and with high quality. Our flat structure means that, as an engineer, you can have a significant influence on the direction of Nas.io.

• Supporting and troubleshooting: You’ll help resolve issues encountered by our customers, identify patterns, and detect bottlenecks. Your insights will contribute to long-term improvements and lessons learned.

• Maintaining documentation: You’ll keep our documentation and knowledge base up-to-date, ensuring that information is readily accessible to the team.

• Developing internal applications and tools: You’ll create and maintain tools for our account managers and support teams, enabling them to efficiently serve our customers.

Who we are looking for:

• Minimum 5-6 years of relevant technical experience: Experience with React & Next.js will be considered a plus, as it aligns with our technology stack and enhances your ability to contribute effectively.

• Good fundamental and learning ability: Confidence about the fundamental and best practices in web application development. But beyond that, be eager to raise the "why" question, followed by persistent effort to find the answers to get things done.

• Critical about solving problems: Possess clear principles and methodologies to confidently tackle any engineering problems and explore new technologies and tools to enhance the system and meet business requirements.

• Strong ownership and commitment: It's your choice to take ownership to improve anything you care about, and it's your utmost responsibility to deliver what you have committed with high quality.

• Collaboration: We value individuals who foster a collaborative environment and actively support their peers. Encouraging knowledge sharing, providing guidance, and promoting teamwork are qualities we highly appreciate.

• Effective communication and team Player: Excellent English skills are essential for efficient communication within our global team. We believe simplicity is the best way to communicate. We also seek individuals with a high energy level, a positive team-player attitude, and a commitment to always provide constructive contribution.

Tech stack we are primarily using:

• Programming languages: Typescript, Javascript

• Frameworks and libraries: React, Next.js, Cypress

• Tools: Github, Apifox, AWS, Lark

• But don’t be limited to them. We are open to change if your reasoning is sound!