Total 8 Internship level Information Technology job vacancies in PASIR GUDANG

We are looking for interns to join our team in Singapore!

Internship period: At least 3 months, preferably able to start by June 2026

Type: Full time preferred, or at least 4 days commitment

Suitable : Polytechnic , Universities students

Company Description

Higogame is a trailblazer in the mobile gaming and entertainment industry. Since our inception in late 2020, we have been dedicated to transforming the gaming landscape in Southeast Asia and beyond, delivering innovative and immersive experiences that engage millions of players around the globe.

• Our revenue has seen remarkable growth year after year, with operations extending across multiple regions worldwide.
• In just three years, we've risen to become one of the top two games of our kind in the local market.
• We proudly serve around 2 million active users daily and have a total monthly active user base of 5 million worldwide.
• Our team consists of over 200 talented employees, including a robust R&D division of more than 100 experts.
• We offer exceptional career development opportunities and foster a multinational culture that empowers everyone to reach their full potential.

Join us as we continue to push the boundaries of mobile gaming!

Job Responsibilities:

Technical Support

• Configure and maintain workstations and laptops.
• Provide software support for end users.
• Manage IT peripherals including printers, monitors, keyboards, mice etc.
• Perform technical asset audits.

Network & Connectivity Support

• Assist in troubleshooting wired and wireless network connection issues for office users.
• Maintain network equipment (switches, routers, access points).
• Coordinate with external vendors when as required.
• Assist with maintaining VPN configurations and remote access solutions.

IT Helpdesk & User Support

• Respond to IT support requests.
• Provide Tier-1 support for common IT issues.
• Document solutions and keep our internal knowledge base up to date.
• Assist with employee onboarding and offboarding.

Qualifications:

• Currently pursuing a Diploma, Associate or Bachelor's Degree in Information Technology, Computer Science, Engineering, or a related field.
• Familiarity with Windows operating systems is a must; hands-on macOS experience is highly preferred.
• Basic understanding of networking fundamentals (IP addresses, DNS, DHCP, Wi-Fi).
• Familiar with system installations, disk partitioning, and driver management.
• A great sense of responsibility, a collaborative mindset, and an eagerness to grow as an IT engineer.
• Conversational in using Chinese is a plus to collaborate effectively with our regional stakeholders.

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

[2026 Internship] Software Engineer Intern

Duration: Full-time Internship (6-month period)

At Codex Solutions, we’re on a mission to explore what’s next in AI — building smart systems that automate, enhance, and inspire.

As a Software Engineer, you’ll be part of a hands-on team experimenting with AI technologies while applying core software engineering fundamentals to design, build, and test real systems. You’ll work at the intersection of software development and applied AI, learning how modern AI capabilities are engineered into reliable, maintainable applications.

You’ll get to explore, prototype, and implement AI-driven solutions that streamline work, amplify human capability, and bring real value to the organisation. If you enjoy writing code, breaking problems down into logical components, and turning ideas into working software, this internship is for you.

Why This Matters

AI is changing how organisations operate — automating routine tasks, enabling smarter decisions, and freeing people to focus on what truly matters.

This internship gives you the opportunity to apply software engineering principles to AI-enabled systems, designing and building tools that support corporate automation while learning how real-world software is developed, tested, and improved over time.

What To Expect:

1. Design, develop, and prototype software applications that incorporate AI technologies such as Generative AI, Agentic AI, and automation frameworks, with a focus on corporate process automation.

2. Build and test intelligent systems such as AI-powered software components such as assistants, workflow bots, APIs, and automation services to improve internal operations.

3. Collaborate with cross-functional teams to identify high-impact business areas where AI can drive efficiency and innovation.

4. Develop and refine AI-enabled workflows, including prompt design, LLM integration, and retrieval augmented generation (RAG) pipelines.

5. Support the full lifecycle of end-to-end software and AI implementation from ideation and proof-of-concept to testing, deployment, and continuous improvement.

6. Stay curious about emerging AI and software development trends, sharing insights and experimental findings with the wider team.

Requirements

During the internship, you will get to learn and experience:

• How to apply software engineering fundamentals (modular design, basic architecture thinking, debugging, and testing) when building AI-enabled systems.
• Hands-on experience experimenting with different AI models, APIs, and frameworks, and integrating them into working software applications.
• The fundamentals of Generative AI and Agentic AI, and how they can be applied to solve real business challenges.
• Practical skills in coding, API integration, AI prototyping, and prompt engineering, with exposure to how AI systems fit into existing applications and workflows.
• An introduction to responsible, secure, and ethical AI development, including awareness of data handling and system limitations.

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.

LAI Games is an arcade experience company that connects people with games. Our vision is to reinvent the arcade industry by creating an arcade experience ecosystem that consists of physical arcade games and location-based VR games and experiences, and other exciting arcade-based titles. Our team members contribute across a broad range of unique and innovative projects that connect, engage, and excite players across physical and virtual worlds. 

Position Summary

LAI games is growing, and we want to expand our support to our customers by offering remote software management of our games, and we want to provide our customers with comprehensive use-data of our games. 

We want to expand our software team for this, and we’re looking for an experienced software engineering manager to realize this ambition.  

Key Responsibilities

As a Fullstack Software Engineering Intern, you'll work alongside experienced engineers to develop enterprise-grade software while building practical skills in modern web development and system integration.

• Learn and contribute – Write clean, maintainable code under mentorship, following established best practices and team standards 
• Take ownership of features – Own the features that you develop, with guidance from senior engineers
• Participate in architecture discussions, ensuring scalability, maintainability and performance.
• Collaborate with cross-functional teams including frontend engineers, product managers, QAs and other engineers to deliver high-impact features 
• Collaborate with teams – Work with frontend engineers, product managers, QAs and other engineers to understand the full software development lifecycle
• Document your work - Maintain clear documentation of code, processes, and technical decisions
• Review and interpret third-party API/SDK documentation, creating POCs and reference implementations

Required Skills and Experience

The ideal candidate would have:

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, Software Engineering, or a related field
• Basic programming fundamentals - Understanding of data structures, algorithms, and object-oriented programming
• Exposure to Python - Academic or personal project experience with Python (Flask/FastAPI exposure is a plus)
• Frontend fundamentals - Working knowledge of HTML5, CSS3, and JavaScript; any experience with React or similar frameworks is beneficial
• Database basics - Understanding of relational databases (MySQL, Postgres) and basic SQL queries
• Problem-solving mindset - Ability to break down problems, ask good questions, and work through challenges with support
• Communication skills - Ability to articulate technical concepts and ask for help when needed
• Team player - Willingness to learn, accept feedback, and collaborate effectively 

Additional Attributes: 

• Personal or academic projects demonstrating full-stack development
• Familiarity with Git/version control 

What You'll Learn: 

• Production-level software development practices
• API design and integration patterns
• Working with enterprise-grade codebases
• Collaborating in cross-functional teams
• Modern development tools and workflows 

About Rapsodo

Rapsodo is a global sports technology company with offices in Singapore, the United States, Türkiye, Japan, and Malaysia. We build data-driven, portable, and easy-to-use sports analytics products that help athletes at every level understand and improve their performance. From Major League Baseball pitchers to professional golfers, our technology is trusted by athletes and coaches worldwide — from youth development to elite competition. Our products deliver real-time, actionable insights that directly impact performance.

We operate at the intersection of hardware and software, designing and building integrated systems with a strong emphasis on accuracy, reliability, and performance. Rapsodo is a globally distributed team, working across regions, cultures, and time zones. What enables us to operate effectively is not just technical capability, but how we work — with ownership, clarity, and disciplined execution.

About the Role

This is not a typical MBA internship.

You will work directly with the CEO to drive execution across the Rapsodo Device Organization — the team responsible for building Rapsodo’s core products. You will be operating at the center of a global engineering organization, helping ensure priorities are clear, teams are aligned, and critical initiatives move forward without friction.

This role is designed for candidates with an engineering background who want to transition toward technical project or program management, with real exposure to leadership and decision-making.

You will not be observing from the sidelines. You will be expected to contribute to execution from the start.

Strong performance in this role can lead to a full-time Technical Project Manager position within the CEO Office or Rapsodo Device Organization.

What You Will Work On

• Translate priorities into clear, structured execution plans across hardware, firmware, and software teams
• Maintain visibility on progress across critical initiatives and ensure momentum is sustained
• Coordinate across globally distributed teams to align on timelines, dependencies, and deliverables
• Run execution cadences (check-ins, reviews, follow-ups) to drive accountability
• Surface risks, bottlenecks, and misalignment early and help drive resolution
• Provide clear, concise updates to the CEO on progress, issues, and next steps
• Improve visibility and execution through simple, effective tracking and reporting systems
• Apply AI tools to improve visibility, identify patterns and risks early, and enhance the speed and quality of execution

Who Will Thrive in This Role

• An engineering background with a solid understanding of how products are built end-to-end
• Comfort operating across different cultures, time zones, and working styles
• Ability to bring structure to complexity and keep multiple workstreams aligned
• Strong sense of ownership, with consistent follow-through and a focus on closing loops
• Clear and direct communication, particularly when identifying issues or misalignment
• A focus on execution and outcomes rather than analysis alone
• Confidence working closely with leadership and operating in a high-expectation environment
• A mindset that prioritizes early signals over late surprises, with a preference for structured execution over reactive firefighting
• Curiosity about how AI can be applied to improve execution, decision-making, and product outcomes
• A proactive approach to leveraging AI tools to enhance productivity, insight generation, and workflow efficiency

Requirements

• Bachelor’s degree in Engineering (Electrical & Electronics, Mechanical, Computer Engineering or related fields)
• 3-5 years of hands-on engineering experience
• Currently pursuing or recently completed an MBA
• Ability to operate credibly with engineering teams from day one
• Familiarity with AI/ML concepts and practical experience using AI tools to improve analysis, workflows, or execution

The Intern will support the Tech department in daily technical operations while gaining hands‑on exposure to IT support and software development processes. This role is ideal for students looking to build practical skills in both IT infrastructure and application development. The intern will work closely with Tech department staff to support end users, assist in maintaining systems, and contribute to small development or automation tasks.

Key Responsibilities

IT Support & Operations

• Provide first-level technical support, including troubleshooting hardware, software, and network issues.
• Assist in the installation, configuration, and maintenance of computers, mobile devices, and other IT equipment.
• Support user account administration such as onboarding, access requests, and password resets.
• Perform system updates, routine checks, and basic preventive maintenance.
• Assist with IT hardware and software inventory tracking.

Software Development & Automation (RPA)

• Assist in the development, testing, and debugging of small internal tools, scripts, or applications.
• Create automation scripts (e.g., PowerShell, Python) to improve IT processes where applicable.
• Collaborate with IT team members to understand business requirements and propose simple technical solutions.

Project & Documentation

• Contribute to ongoing IT projects such as system upgrades, cloud initiatives, cybersecurity enhancements, or app improvements.
• Document troubleshooting steps, system processes, software changes, and technical tasks.
• Support setup and troubleshooting of audiovisual equipment for meetings and events.

Key Learning Objectives:

• Gain hands-on experience in embedded firmware development using nRF52840 and the nRF Connect SDK.
• Learn to develop and test hardware drivers (e.g., EEPROM memory chips).
• Understand and apply firmware engineering best practices such as modular coding, refactoring, unit testing, and documentation.
• Develop skills in using AI-powered development tools (e.g., Cursor IDE, Copilot, ChatGPT) for efficient commercial-grade firmware development.
• Build practical knowledge of IoT connectivity via ESP32 AWS IoT ExpressLink.
• Strengthen ability to interpret and debug using circuit schematics and hardware integration techniques.
• Apply Python for sensor data analysis and test automation.

Intern’s Responsibilities:

• Contribute to the development of embedded drivers and middleware.
• Assist in refactoring existing firmware for improved maintainability.
• Write and run unit tests to validate functionality.
• Document firmware modules, APIs, and design decisions.
• Support hardware-software integration and testing.
• Collaborate with the engineering team in reviewing and improving code.
• Explore and document how AI tools can accelerate firmware development workflows.

Training and Development:

• Technical onboarding to nRF Connect SDK, Zephyr RTOS fundamentals, and project-specific workflows.
• Workshops and mentorship on firmware best practices (driver development, testing, documentation).
• Guided introduction to AI development tools (Cursor IDE, GitHub Copilot, ChatGPT) for embedded systems.
• Tutorials on data logging and Python analysis workflows.
• Hands-on practice with debugging tools and circuit schematics.

Benefits:

• Allowance Provided – Interns will receive a monthly allowance to support their contributions.
• Paid Annual Leave – Applicable to interns who complete more than 3 months of service.
• Supportive Culture – Join a vibrant team environment that champions continuous learning, collaboration, and growth.
• Global Exposure – Gain experience working within a well-established Japanese multinational corporation.
• Supportive Environment – Enjoy guidance from approachable supervisors and high calibre colleagues.