Total 425 software engineer job vacancies in George Town

Overall Summary:

Mainly supporting security aspect like firewall checkpoint, security appliances - configuration, troubleshooting, capacity planning. Supporting current operation and deployment of resiliency project. This is a 2-year direct contract position.

Roles and Responsibilities:

• Directly reporting to Security Senior Manager
• Assist Architect team on new infrastructure design, implementation, and management of network solutions that form the core infrastructure, ensuring seamless integration across different platforms. This includes procurement of necessary equipment.
• To provide comprehensive product knowledge on the data technology required to deliver, support the networks infrastructure.
• Collaborate with the team to identify network and system needs, monitor performance metrics, troubleshoot, and resolve network-related issues, and implement improvements.
• Deliver project management for network activities encompassing upgrades, deployments, and migrations. Provide technical guidance and user support as required.
• Develop, maintain, and update documentation covering the network environment and operational procedures.
• Generate reports and detailed documentation outlining findings, implemented solutions, and recommendations for further enhancements.
• Oversee network environment to maximize performance, scalability, and minimize downtime.
• Closely coordinate and conform to Change Management policies, process, and procedures on any network changes.
• To implement approved changes, troubleshoot to identify root causes and implement effective solutions.
• Experience on Automating daily network tasks using scripting.
• Be available to provide on-call support as needed.

Qualifications/ Requirements:

• Minimum Bachelor in Computer Engineering or equivalent
• Must equipped with CCNP or CCIE, min CCNA
• Network Infrastructure & Hardware: 5+ years experience managing large enterprise network with a strong focus on F5, Palo Alto, Cisco, and CheckPoint Technology.
• Network Devices: In-depth knowledge and profciency with switches, firewalls, load balancers, routers, and ISE.
• Network Design & Troubleshooting: Expertise in designing, monitoring, and network & incident management (LAN, WAN, VPN).
• Strong experience with automation tools: Ansible, Python - Automate in operation / project work before
• Experience with Deployment and automation, advantage to have experience building data center
• Proven track record of success in a fast-paced IT environment.
• Excellent communication and interpersonal skills, allowing you to effectively collaborate with both technical and non-technical stakeholders.
• Ability to work under pressure and delivery the project on time with minimum supervision.
• Certified and experienced with the mentioned technologies.

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-%28AI-Accelerator-and-Energy-Efficient-Computing%29/32425-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and skilled Research Engineer to join our team in developing next-generation energy-efficient AI hardware. The project aims to demonstrate an AI accelerator chiplet that integrates emerging non-volatile memory (RRAM or MRAM) with conventional I/O interfaces. This platform will showcase compute–memory co-design advantages, including enhanced data throughput, improved energy efficiency, and reduced data-movement overheads for large-scale AI workloads. 

Key Responsibilities:
•    Develop and implement fine-grained dynamic voltage and frequency scaling (DVFS) strategies tailored for GPU-based AI workloads, with control at the level of transformer blocks and attention layers.
•    Design and build a high-resolution (microsecond-scale) performance monitoring framework to capture workload intensity, memory access patterns, and GPU utilization for real-time optimization.
•    Develop and deploy machine learning models to predict optimal voltage–frequency operating points during LLM training and inference.
•    Integrate predictive control algorithms with hardware platforms to enable real-time, adaptive power management across heterogeneous compute and memory subsystems.
•    Collaborate on system-level hardware–software co-design to realize energy-efficient AI acceleration.
•    Contribute to prototype development, benchmarking, and evaluation of performance and energy efficiency.
•    Publish research findings in leading journals and present at international conferences.
•    Mentor undergraduate students and support team-based research activities.

Qualifications

•    Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
•    Strong programming skills in Python and C/C++, with experience in machine learning frameworks such as PyTorch or TensorFlow.
•    Familiarity with deep learning models—particularly transformer architectures and large language models (LLMs)—is advantageous.
•    Experience or interest in system-level optimization (e.g., DVFS, workload profiling, or power management) is a plus.
•    Strong analytical and problem-solving skills, with the ability to conduct independent research and contribute to technical publications.
•    Ability to work effectively in a multidisciplinary environment, with good communication skills, initiative, and adaptability.

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-%28High-Precision-3D-Printing%29%2C-Division-of-Industrial-Design/32422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research engineer for High Precision 3D Printing. 
●    Develop, operate, and maintain high-resolution 3D printing systems, including two-photon polymerization (2PP), extrusion-based printing, and digital light processing (DLP) platforms. 
●    Fabricate and characterize complex 3D structures and scaffolds, ensuring quality, precision, and reproducibility. 
●    Support internal capability development and execute collaborative projects with academic researchers and industry partners. 
●    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
●    Ensure proper laboratory operations, including equipment maintenance, safety compliance, and procurement of materials and components.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor Degree in Mechanical Engineering/Materials Science/Biomedical Engineering or related field.
●    Expertise in 3D printing. 
●    Experience in 2PP is an advantage.
●    Familiarity with advanced imaging techniques and data analysis software is an advantage.
●    Proficiency in written and spoken English. 

*For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Overview

PC Partner is a leading manufacturer of computer electronics. Our key products are video graphics cards, motherboards and mini-PCs. We are also offering one-stop electronic manufacturing services to reputable brands all over the world. As one of the leaders in the industry, we leverage our extraordinary research and development capabilities and state-of-the-art production facilities to constantly bring new product ideas and leading-edge innovations to the market. We endeavour to stay ahead of the industry to ensure success and competitiveness in serving the needs of our customers.

Position Summary

We are building a team of AI Engineers to drive the design and deployment of advanced AI solutions. The role involves selecting and implementing optimal AI models, as well as building data engineering pipelines to support machine learning model training, evaluation and deployment. You will collaborate closely with cross-functional teams to innovate, execute and deliver AI technologies, ensuring project success through strong technical expertise, effective teamwork and clear communication.

Key Responsibilities

• Collaborate with cross-functional teams to define technical specifications for AI-driven software solutions.

• Build and maintain robust, scalable data pipelines to support machine learning and AI model training.

• Design and manage data architectures that enable efficient and reliable AI workflows.

• Prepare, clean, and integrate large datasets; design and implement vector databases to support training and inference of machine learning models.

• Design and develop AI models and APIs, integrating them seamlessly into both application software and embedded hardware systems.

• Review codes developed by team members, driving continuous improvement of AI models through algorithm refinement, code optimisation, and stakeholder feedback.

• Develop comprehensive test cases; conduct rigorous testing, debugging and bug fixing to ensure high quality, performance and system reliability.

• Train, evaluate and fine-tune machine learning models to achieve optimal efficiency and low latency.

• Implement MLOps best practices to manage the end-to-end software and machine learning lifecycle, including version control, CI/CD pipelines, and documentation.

• Collaborate with project leaders to plan, execute, monitor, and deliver multiple projects using Agile methodologies.

• Work closely with project teams to deploy machine learning models into production environments and support post-deployment operations.

• Analyse data to extract meaningful insights and present results to stakeholders to support product and business decisions.

• Conduct research and collaborate with external stakeholders to stay up to date with the latest AI technologies and industry standards, continuously enhancing development and evaluation processes.
  

Requirements

• Min. Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or related fields.

• Min. 2 years of relevant experience in a similar role, with hands-on experience in designing, developing and deploying machine learning in real-world applications.

• Proficient in machine learning frameworks and libraries such as TensorFlow and PyTorch, particularly for computer vision tasks including object detection, classification and tracking.

• Familiarity with relational database management systems (RDBMS) such as PostgreSQL and Microsoft SQL Server, as well as experience with vector databases.

• Experience in application software development across multiple platforms including Windows, Linux, mobile operating systems (iOS, Android) and embedded systems.

• Strong programming skills in Python, Java and C++, with experience in GPU-accelerated computing using CUDA and TensorRT.

• Knowledge of edge computing platforms and hardware accelerators such as NVIDIA Jetson, Google Coral, and ARM Cortex.

• Fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.

• Candidates must meet legal requirements to work in Singapore without sponsorship.

• Algorithm Development: Support the development of route optimization andmotion planning algorithms (graph search, sampling, or optimization-basedmethods) based on designs provided by the research team.

• Software Development: Writeclean, maintainable, and efficient C++ code to integrate planning modules intothe core autonomy stack.

• Simulation & Validation:Own the end-to-end testing of planning stacks in simulation. You will beresponsible for identifying "corner cases," debugging planningfailures, and ensuring trajectory smoothness.

• Performance Optimization:Assist in profiling and optimizing existing algorithms to ensure they meetreal-time constraints and operate efficiently on embedded hardware.

• Field Testing & Analysis:Participate in real-world vehicle testing. Analyze logs and telemetry data totroubleshoot behavior inconsistencies and improve system reliability.

• Cross-Functional Support:Collaborate with the Perception and Control teams to ensure seamless data flowand coordinate transform accuracy across the stack.

Required experience

• Educational Background: Master’s or Bachelor’s degree in ComputerScience, Robotics, Engineering, or a related field. A strong academicfoundation in path planning or autonomous systems is required.

• Programming Proficiency: Solid proficiency in Modern C++. Familiaritywith Python for scripting and data analysis is a plus.

• Robotics Fundamentals: Good understanding of standard planningalgorithms (e.g., A*, RRT*, Frenet frames, or Lattice planners) and basickinematics.

• Hands-on Tools: Experience with Linux (Ubuntu) and ROS/ROS2 isessential.

• Growth Mindset: A proactive "tinkerer" attitude with theability to learn complex new frameworks quickly and a desire to solve"hard" robotics problems.

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-%28AI-Driven-Autonomous-&-Smart-Manufacturing%29%2C-Division-of-Industrial-Design/32423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of Research Engineer in AI-Driven Autonomous and Smart Manufacturing, with a focus on Additive Manufacturing (AM). 

•    Develop AI-driven frameworks that integrate LLMs, agentic AI, and multimodal foundation models for autonomous and smart manufacturing applications, with emphasis on additive manufacturing.
•    Fuse multimodal sensor data, reinforcement learning, and vision–language models to enable real-time defect detection, process monitoring, and intelligent decision-making.
•    Support internal capability development and execute collaborative projects with academic researchers and industry partners.
•    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
•    Assist laboratory safety and procurement whenever necessary.

AM.NUS leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. 
AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor degree in Mechanical Engineering, Manufacturing Engineering, Computer Science, Artificial Intelligence, Industrial Design or a closely related field.
●    Strong background in additive manufacturing and smart manufacturing systems.
●    Proven expertise in machine learning and AI, including experience with LLMs, multimodal models, or reinforcement learning.
●    Experience with engineering design and simulation tools (e.g., AutoCAD, SolidWorks, FEA) is an advantage.
●    Experience with digital twins, knowledge graphs, or cyber–physical systems is an advantage.
●    Proficiency in written and spoken English. 

Job Responsibilities

• Perform desktop, printing and related support.
• 1st/2nd level support and resolution, including technical issues involving desktop clients and hardware issues.
• Provide technical service to end users, troubleshooting issues related to laptops and printers
• Manage Windows XP, Windows Vista, Windows 7, MS Office Applications, network connectivity, printer mapping etc.
• Manage email messaging configurations and troubleshooting issues for Outlook.
• Provide installation, repair and preventive maintenance serivces on client's copiers
• On site troubleshooting on hardware and software solutions related to copiers
• Servicing of Servers,Windows PC,Macbook and Ipad
• Distribution of paper to copiers as required
• Ad hoc duties as assigned
  

Job Requirements

• Diploma / NITEC Qualification in Computing or similar
• Must be comfortable to be stationed in specific client's site for long period of time
• Main service provider to chinese client. Knowledge of basic Mandarin dialects is essential
• Good knowledge in software applications, preferably with networking proficiency
• Positive attitude and great customer service
• Independent and good team player
• Technical experience in the photocopier industry will be an added advantage

Fabrica AI created an automatic tile grouting robot that delivers a 5x productivity boost.This patented solution, currently being deployed at leading construction companies like Woh Hup, BHCC, and others, exemplifies the transformative power of our approach.

We've secured over 3 million USD in funding from prestigious investors like Hoxton Ventures, Credo Ventures, and prominent figures like our professor from Cambridge University and construction giants like Woh Hup. This strong backing fuels our mission and validates the transformative potential of our technology. 

Website: https://www.fabrica.ai/ (and various press releases, awards, etc.)
Grouting Robot Video: https://drive.google.com/file/d/1JfY-tL7gGydiFUyScjJLhA6maB6viG6e/view

Core responsibilities:

• Design, implement and maintain software modules for autonomous robot operation using the ROS2 framework, including nodes, topics, services and actions

• Support the robot perception stack by building and maintaining data pipelines for collection, labelling, and preprocessing, and by assisting in the training and evaluation of AI models.

• Develop and integrate AI/ML models into the robot software stack, including model selection, fine-tuning, performance benchmarking, and deployment onto edge hardware.

• Research and evaluate other state-of-the-art AI techniques relevant to robotics, including object detection, semantic segmentation, depth estimation, and scene understanding.

• Perform accurate calibration of on-robot sensors including cameras and LIDAR.

• Design, implement and maintain firmware logic, architecture and device-to-device communication using standard protocol (CAN, I2C, SPI) with a focus on reliability, latency and power constraints.

• Evaluate and integrate third party open source libraries, SDKs and/or APIs where beneficial.

• Design and execute testing strategies including unit, integration and HIL tests to validate software correctness and system performance.

• Systematically diagnose and resolve software and firmware issues across the stack, implementing root-cause fixes rather than symptomatic patches.

• Develop and maintain tooling for build systems, testing, logging and remote diagnostics.

• Participate in cross-functional design reviews, code reviews and contribute to internal documentation and engineering standards.

You may also be involved in:

• Hands-on assembly, wiring and soldering of electronic subsystems as part of prototype bring-up and iteration

• Occasional on-site deployment and testing at live operational environments (e.g. construction sites), requiring adaptability and safety-consciousness.

• Fabrication of mechanical prototypes using tools including 3D printers, drills, angle grinders etc.

Technical Requirements:

• Proficiency in C++17 or later for performance-critical systems.

• Proficiency in Python for scripting, tooling, ML pipelines.

• Experience with bare-metal embedded development in C.

• Familiarity with robotics simulation environments like Gazebo for development and validation.

• Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and common computer vision libraries (e.g. OpenCV, Ultralytics).

Nice to Haves

• Experience with version control (Git) and collaborative development workflows

• Familiarity with cross-compilation build systems for embedded systems (arm-none-eabi).

• Familiarity with software design principles and CI/CD pipelines (eg Github Actions)

• Experience with electronics is a plus.

Values/ Culture:

• Excited to work in a fast-moving startup environment where your work directly shapes the product and puts you close to real-world operations and clients

• Comfortable with ambiguity and able to self-direct in an environment where priorities evolve rapidly

• Strong first-principles thinking, comfortable defining success metrics and making reasoned decisions with limited data

• Self-motivated and impact driven, with a track record of going beyond the minimum through personal projects, open-source contributions or extracurricular technical work

• Excited about robotics and similar technical areas and exploring them in work and other projects

• Approach unfamiliar problems with curiosity and a growth mindset. Eager to learn across domains including hardware, software and operations

Our work is fast-moving and iterative, and your role will grow with it. We value people who can take initiative, connect their day-to-day work to the bigger picture, and adapt as our priorities evolve.

Click on the link above for more information, send your CV to careers@fabrica.ai to apply.

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 2 years of work experience in the digital backend design field. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivation, good teamwork spirit.

5. Salary is negotiable for excellent candidates.

Leadtop Technology Pte Ltd is a chip design company based in Singapore. The Company has strong R&D capabilities and the core technical team members all have numerous years of experience in the semiconductor industry. We have rich industry experience and deep practical accumulation in IC design and business management.

Job Description:

1. Works with the front-end design team to complete the chip floorplan , clock architecture, and powerplan .

2. Takes charge of the physical design tasks from the Netlist to the GDSII, including P&R, formal verification, static timing analysis, physical verification, power analysis, design for reliability and tapeout.

3.Researches the physical design methodology of advanced process nodes, and improvise the automatic physical design platform.

Position Requirements:

1. Holds a bachelor's degree or above in electronic engineering, microelectronics, or computer science.

2. At least 5 years of work experience in the digital backend design field. Hands-on project experience is required. Tapeout experience at advanced technology is preferred.

3. Those with experience in TCL , Perl or Python script development and familiar with EDA tool design will be a plus.

4. Strong communication ability, good confidence and self-motivated, good teamwork spirit.

5. Salary is negotiable for excellent candidates.

About the role

We are seeking an experienced Senior System Engineer to join our dynamic team at KTC. As a Senior System Engineer, you will be responsible for overseeing the design, implementation, and maintenance of our complex IT infrastructure, ensuring seamless operations and optimized system performance. This is a full-time, on-site role based in the Clementi West Region.

What you'll be doing

1. Designing, implementing and maintaining robust enterprise-level IT systems and networks
2. Troubleshooting and resolving technical issues to ensure optimal system uptime and user productivity
3. Collaborating with cross-functional teams to identify and address IT-related business requirements
4. Researching and evaluating new technologies to recommend and implement solutions that drive efficiency and innovation
5. Providing technical guidance and mentorship to junior team members
6. Documenting and maintaining detailed records of all IT systems and processes
7. Ensuring all IT systems and processes comply with relevant industry standards and regulations

What we're looking for

1. 5+ years of experience as a System Engineer or in a similar technical role
2. Extensive knowledge of enterprise-level IT systems, including networking, servers, storage, and virtualization
3. Proven track record of designing, implementing and maintaining complex IT infrastructures
4. Expertise in troubleshooting and resolving technical issues in a timely and efficient manner
5. Strong problem-solving and analytical skills with the ability to think critically and creatively
6. Excellent communication and collaboration skills to work effectively with cross-functional teams
7. Familiarity with industry-standard tools and technologies, such as VMware, Microsoft Windows Server, and Linux
8. Relevant certifications (e.g., MCSE, CCNA, RHCE) are highly desirable

What we offer

At KTC , we are committed to providing our employees with a rewarding and fulfilling work environment. Our comprehensive benefits package includes competitive salary and opportunities for professional development and career advancement. We also prioritize work-life balance and a range of well-being initiatives to support our employees' overall health and happiness.

If you are an experienced Senior System Engineer who is passionate about driving innovation and delivering exceptional IT solutions, we encourage you to apply now and join our talented team.

Key Responsibilities

• Manage and maintain virtualization platforms (Hyper-V and VMware)
• Administer and support Windows Server environments
• Design, implement, and troubleshoot network infrastructure (LAN/WAN, VPN, firewall)
• Monitor system performance and ensure high availability of IT services
• Perform system upgrades, patching, and routine maintenance
• Troubleshoot hardware, software, and network issues
• Support backup, disaster recovery, and business continuity processes
• Maintain proper documentation of systems, configurations, and procedures
• Collaborate with internal teams and vendors for project implementation and support

Requirements

• Diploma or Degree in Information Technology, Computer Science, or related field
• Minimum 2–4 years of relevant experience in system and network administration
• Hands-on experience with:Hyper-V and/or VMware virtualization platformsWindows Server (Active Directory, DNS, DHCP, Group Policy)Network infrastructure (switching, routing, firewall)

Preferred / Added Advantage

• Experience with Zscaler (ZIA/ZPA)
• Experience with Network Access Control (NAC) solutions (e.g., Cisco ISE, FortiNAC)
• Familiarity with Microsoft Azure (IaaS, networking, identity)
• Knowledge of security best practices and frameworks
• Relevant certifications (e.g., Microsoft, VMware, Cisco, Azure)

Key Skills

• Strong troubleshooting and problem-solving skills
• Good understanding of IT infrastructure and security concepts
• Ability to work independently and in a team
• Good communication and documentation skills

Key Responsibilities

• Design, develop, test, and maintainscalable backend services using Node.js (NestJS) or Java (Spring Boot).
• Build responsive frontend applications using React.js / Next.js based onUI/UX designs.
• Design and manage relational and NoSQL databases (PostgreSQL, MySQL,DynamoDB).
• Integrate internal platforms with external systems including IoT data sourcesand third-party APIs.
• Implement CI/CD pipelines and support automated deployment across cloudplatforms.
• Deploy and support applications on AWS and Google Cloud Platform.
• Participate in Agile ceremonies, code reviews, and production support.

Job Requirements

• Degree or Diploma in Computer Science,Software Engineering, IT or related field.
• Minimum 3–5 years of hands-on software development experience.
• Strong experience in JavaScript / TypeScript.
• Experience with NodeJS (NestJS) or Java (Spring Boot).
• Proficient with React.js frontend development.
• Experience with REST APIs, databases, and ORM tools.
• Familiarity with cloud platforms (AWS / GCP) and Docker.

Preferred Skills

• Exposure to IoT platforms or real-time data processing.
• Experience with Firebase and serverless architecture.
• CI/CD, Jenkins, Kubernetes knowledge is an advantage.

Responsibilities

• Set up from scratch a QA environment for an ERP software product in enterprise asset management and corporate property management. 

• Set up components necessary for various QA tests, including automated regression tests, smoke tests, integration tests, performance tests, vulnerability scans and regression tests. 

• Develop, document, execute and track test plans based on software requirements and technical specifications.

• Accurately record and clearly document actual results in relation to expected results

• Maintain organized records of test results and generate historical analysis of test results

• Document unexpected anomalies identified in testing, with instructions on how to reproduce the anomaly

• Assist in the development and refinement of product and software requirements.

• Communicate with the product and project teams on quality issues.

• Work with product and project teams to ensure that the software applications are fully tested.

Essential Skills and Experience

• At least a Diploma, Advanced/Higher/Graduate Diploma, Bachelor's Degree, Post Graduate Diploma or Professional Degree in Engineering (Computer/Telecommunication), Computer Science/Information Technology or equivalent.

• Experienced with QA tools, such as Selenium (in Java), Appium, Cucumber

• Familiarity with QA tools such as TestRails and JMeter is a plus

• Familiarity with CI servers such as Jenkins is a plus.

• Familiarity with issue trackers such as Jira or Gitlab is a plus.

• Familiarity with technologies: web applications, cloud services, virtual machines, security, HTML5, jQuery, mobile (iOS/Android).

• Familiarity with scanning tools such as Black Duck, OWASP Zap, OWASP Dependency Tracker, SonarQube is a plus.

• Relevant domain knowledge is a plus: Finance, Leasing, Procurement, Maintenance Management.

• Good communication skills.

• Strong interest in quality assurance and software engineering.

• Ability to work effectively in a dynamic working environment.

 Benefits:

• 16 hours of Flexi Timeoff

• Me Days: additional 3 days of annual leave for qualifying employees

• Engaging, fun & inclusive culture

• High performance recognition program and perks

About Us

From the day we opened our doors, MRI Software has built flexible, game-changing real estate software that powers thriving communities and helps make the world a better place to live, work and play. Fulfilling that mission is only possible because of one thing: exceptional people. People like you!  

Our people-first approach to PropTech is defining a new industry standard for client experiences that, quite frankly, can’t be duplicated. Experiences that deliver real value every day. And we know those experiences begin with our people.  

We believe MRI is more than just a workplace; it’s a connected community of people who truly feel they belong. Whether we’re investing in employee resource groups or providing tailored resources for each person to reach their full potential, we’re passionate about creating a work environment that makes you excited to show up every single day.  

At MRI, one of our core values is to strive to amaze.  From the intelligent solutions we create to the culture we cultivate, that’s our goal every day. Because that’s what industry leaders do. Whether you’re joining as a new Pride member or rejoining us after a short time away, your talent is vital to us, our partners and our clients. 

Amazing growth requires amazing employees. Are you up to the challenge?   

We know confidence gap and imposter syndrome can get in the way of meeting remarkable candidates, so please don’t hesitate to apply. We’d love to hear from you!   

MRI is proud to be an inclusive employer. We welcome and celebrate diversity across all backgrounds, including ethnicity, religion, sexual orientation, gender identity, disability, age, military, veteran status and more. 

We believe that Belonging is a direct result of Diversity, Equity, and Inclusion. Those values are woven into the fabric of who we are and are foundational to our continued success. Come and see for yourself! 

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

We are looking for a qualified iOS/tvOS developer to join our App Development team. You will work with our engineers to develop and maintain high-quality OTT streaming applications across iOS and tvOS platforms.

You are passionate about Apple platforms and capable of translating code into reliable and user-friendly applications. As a mobile software engineer, you will collaborate with internal and offshore teams to build and enhance our video streaming applications in a fast-paced environment.

Ultimately, you will help design and develop the next generation of our OTT mobile and large-screen applications, supporting both new feature development and ongoing platform improvements.

Responsibilities

• Build, optimize, and release new features for iOS and tvOS applications
• Develop scalable and maintainable code using Swift
• Implement and maintain video playback features using AVFoundation
• Integrate DRM-protected streaming (FairPlay preferred)
• Troubleshoot and resolve performance issues
• Collaborate with Product Owners, Designers, Developers, and QA teams
• Participate in code reviews and maintain engineering best practices

• Bachelor's degree in Computer Science or related field
• 2-3 years of iOS experience
• strong Swift fundamentals
• willingness to learn tvOS / OTT
• AVFoundation or streaming as a plus, not mandatory
• FairPlay/DRM as a bonus, not a must-have