• Person will be responsible in system level design and development for PCBA Test operation.
• Person will be responsible in debugging any system level failure to determine is an electrical, mechanical or software fault
• Person will be responsible to update and upgrade the system to improve overall production capacity or quality in PCBA test operation.
• Person will be responsible for robotic operation in WD environment.

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

COMPANY DESCRIPTION

NVPC is the national agency dedicated to growing a culture of volunteerism and philanthropy in Singapore. By engaging individuals, organisations, communities and leaders across the people, private and public sectors, we seek to create a more caring, inclusive, and compassionate society. Together, we envision Singapore as a City of Good, where everyone is able to give every day and everywhere (3Es), contributing their time, talent, treasure, ties and testimony (5Ts). Learn more at nvpc.org.sg.

RESPONSIBILITIES

• Develop proof-of-concept solutions to validate new product ideas or technical approaches

• Design and build automated workflows to streamline manual business processes using tools such as Power Automate

• Assist in scripting and building integrations between internal systems and external platforms

• Collaborate with the team to identify automation opportunities and recommend practical solutions

• Support technical documentation of solutions, architectures, and implementation guides

• Pursuing a degree in Computer Science, Software Engineering, Information Technology, or a related fields
• Hands-on programming experience in at least one language (e.g. Python, JavaScript)
• Familiarity with APIs, scripting, and basic software development practices
• Exposure to or interest in automation platforms (e.g. Power Automate, UiPath)
• Ability to work independently on technical tasks with guidance

Internship period: At least 6 months

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Mobile application development and applied research on Android, iOS and/or Appcelerator platforms
• Java/ Asp.Net/ NodeJS software development, involving the use of databases
• Software support and maintenance of deployed products and solutions
• For backend software engineer, C# and Java knowledge would be an advantage

Requirements

• High calibre mindset, expected to work hard
• Knowledge in mobile application development on Android and/or iOS platforms
• Knowledge of Object-Oriented Programming and SQL
• Knowledge in native mobile features such as GPS, accelerometer, push notifications, etc.
• Knowledge in cross platform mobile development tools
• Knowledge in developing on Unix/Linux environments
• Enjoy constant learning and working with new technologies

About the Role

We’re seeking a motivated Project Engineer Intern to join our team and gain hands-on experience in engineering project management. This internship offers the opportunity to work on real projects, collaborate with experienced engineers, and develop practical skills that will set you apart in your career.

What You’ll Do

• Assist in planning, coordinating, and executing engineering projects
• Support project documentation, reporting, and scheduling
• Collaborate with cross-functional teams to ensure project milestones are met
• Contribute to problem-solving and process improvement initiatives
• Gain exposure to industry tools, standards, and best practices

What We’re Looking For

• Currently pursuing a degree in Engineering (Mechanical, Civil, Electrical, or related field)
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Detail-oriented with good organizational skills
• Eagerness to learn and contribute in a fast-paced environment
• Candidates who are available from Jun/July onwards, with a minimum internship period of 4 months and above.

Send your resume and application by applying to this job posting (Or send your resume and interest to Internship@dteam.sg) for our follow up!

Unit Code: VM/ESU-P

Challenging Internship at Bosch Japan! You will get the chance to work for a global player and be a part of a dynamic team where you can gather practical and on-the-job experience with a mix of day-to-day operations and projects. Your task(s) will include:
1. Project Management: Actively supporting project management for Suzuki
2. Digitalization & AI: Driving digitalization within the team.
3. Ownership & Responsibility: Administering and leading meetings.
4. Team Support: Providing support to the team with general administrative and organizational tasks.

About Lighthouse Canton

Founded in 2014, Lighthouse Canton is a Singapore-headquartered global investment management firm with approximately US$ 5+ billion in Assets Under Management (AUM). Lighthouse Canton is one of the leading and award-winning investment firms in the region, focusing on managing funds with uncorrelated investment strategies, providing investors with the opportunity to achieve consistent returns across market cycles. Lighthouse Canton has offices in Singapore, Dubai, India, and the UK.

Job Purpose

We are offering an AI Engineering Internship designed as a structured, mentored introduction to building production-grade AI systems inside a regulated wealth management firm. You will sit inside our small AI Lab and work alongside experienced engineers on real internal applications across Investment, Relationship Management, Risk, Operations, and Compliance - not toy projects, and not coffee runs.

What You Will Do

Building & Supporting AI Applications

• Pair with senior engineers on AI-powered internal applications using LLMs, RAG pipelines, and agents. Expect to start by reading code and small fixes, and ramp up to owning well-scoped features under guidance.
• Help build and tune retrieval systems: chunking strategies, embeddings, vector search, and basic re-ranking.
• Practise prompt engineering and context engineering—structuring inputs, managing memory, and compacting context - to keep agents coherent across multi-step tasks.
• Help wire internal knowledge bases, market data feeds, and operational systems into agents via Model Context Protocol (MCP) servers and other typed-tool interfaces.

Agent Harness & Evaluation

• Get hands-on with the agent harness - the runtime layer around the LLM that manages execution loops, tool calls, state, memory, and error handling. You will be expected to learn the vocabulary (ReAct, planner/executor, guardrails, permission gates, loop budgets) and apply it in real code.
• Help build evaluation harnesses: writing test cases, regression suites, deterministic checks (schema validation, citation checks),and simple LLM-as-judge graders—so we can tell whether changes actually improve quality.
• Instrument agents with basic observability: tracing tool calls, logging token usage, latency, and outcomes; help triage failure traces and feed lessons back into prompts and tool specs.
• Contribute to internal documentation on harness patterns, evals, and lessons learned - useful both to the team and to your own learning.

Collaboration & Knowledge Sharing

• Partner with stakeholders in Investment, Relationship Management, Risk, Operations, and Compliance to understand requirements—always alongside a senior team member.
• Take part in code reviews, design discussions, and weekly team check-ins. Asking questions is part of the job, not a sign of weakness.
• Present a short end-of-internship readout summarising what you built, what you learned, and what you would do differently.

What We Are Looking For

Technical Foundations

• Programming: Comfortable in Python from coursework, personal projects, or prior internships. Any exposure to JavaScript/TypeScript, Git, and the command line is a plus.
• AI/ML Curiosity: Has built at least one small project involving LLMs (e.g., via OpenAI, Anthropic, or open-source models) - a chatbot, a RAG demo, a hackathon project, a tinkering side project, an agent that does something silly. Quality of curiosity matters more than scale.
• Agentic AI Awareness: Familiar at a conceptual level with agent frameworks (e.g., LangChain, LangGraph, CrewAI, OpenAI Agents SDK, Claude Agent SDK) and modern terms like MCP, RAG, evals, and guardrails. We do not expect mastery - we expect that you have read about them and want to go deeper.
• AI-Assisted Development: Comfortable using coding assistants such as Claude Code, Codex, or GitHub Copilot as part of how you build - and aware that they need supervision, tests, and clear specs to produce reliable code.
• Data & Web Basics: Light exposure to databases (SQL, or any NoSQL store), and to web/API basics (HTTP, JSON, a back-end framework such as FastAPI or Flask) is helpful but not required.

Mindset & Soft Skills

• Genuine curiosity about AI, finance, and the messy intersection of the two. You should be excited to learn how a wealth management firm actually works.
• Comfort with ambiguity: real projects rarely arrive with neat specs. We will help you scope them, but we want someone willing to sit with uncertainty.
• Communication: able to explain technical ideas in plain English (and in writing), and to flag blockers early rather than getting stuck quietly.
• Integrity: this is a regulated environment. We need an intern who treats client data, MNPI, and internal information with the same care a full-time hire would.

Education

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Quantitative Finance, or a related field—or a recent graduate within 12 months.
• No prior professional experience required. Strong coursework, personal projects, open-source contributions, hackathon work, or research projects are all valid signals.
• Penultimate-year and final-year students are encouraged to apply.

This internship is for a student who can develop a yield application/system to improve visibility, speed, and consistency of yield analytics and reporting. You will work with engineering stakeholders to transform manufacturing/test data into usable applications, dashboards, and automation workflows, including data extraction, transformation, visualization, and deployment.

Roles / Responsibilities

• Develop and enhance a Yield Application/System to support engineering yield analytics and decision-making.
• Build data pipelines / ETL to pull and harmonize data from common factory/test sources.
• Work with stakeholders to translate yield analysis needs into system requirements, functional specs, and UI workflows; document assumptions and business rules clearly.
• Create dashboards or reporting layers and ensure metrics definitions are consistent and traceable.
• Implement data quality checks to improve trustworthiness of yield data.
• Support deployment and sustainment activities such as packaging code, organizing repository structure, and preparing for hosting on internal environments.
• Produce user guides / system instructions and handover documentation to enable future enhancement by engineering/automation teams.
• Collaborate with cross-functional partners (engineering, automation, manufacturing/test teams) and participate in reviews/demos of progress and results.

We are looking for a software engineering intern to develop and maintain test management software for our HDD Validation Engineering team.

Essential Duties and Responsibilities

• Develop features for our self-hosted web portal (MERN-stack) and microservice backends (FastAPI).
• Design and implement automation solutions for tester monitoring and data analytics.
• Help establish holistic software quality assurance processes (CI/CD, E2E testing).
• Troubleshoot and debug issues within test environments, providing timely resolutions.
• Participate in code reviews and maintain clean, well-documented code.

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

• To assist engineers to perform engineering related tasks such as buyoff on hardware, test program, equipment setups, etc.
• To perform qual related tasks such as repeatability tests
• To perform reject low yield or RMA verifications and sampling test based on special requests with engineer’s guidance

•  Process Flow: Learn to analyze and optimize the wafer sort, final test, and backend processes in semiconductor production.
• Factory Layout (AutoCAD): Learn to design and improve factory floor layouts using AutoCAD for efficient space utilization and equipment placement.
• Time Study: Learn to conduct time studies for final test and backend operations, using Excel to analyze data and identify efficiency improvements.
• Exposure to Equipment: Gain hands-on learning experience with semiconductor testing, handling, and backend packaging equipment

Test Engineer - Process, you will be responsible for leading Project improvement in the Burn In area, supporting execution and addressing manufacturing issues related to Test Process. You will be expected to continuously improve manufacturing processes through innovative solutions, collaborating across teams and disciplines. Your role is critical in driving Test Process improvements to enhance system robustness and scalability through systematic approaches and appropriate tools.

• Collaborating with product managers, NPI engineers, Assembly engineers, Manufacturing supervisors, and QA to meticulously scope, plan, design, and implement new features while maintaining existing functionality.
• Upholding and enforcing high engineering standards across the team.
• Utilizing your expertise to enhance the technical proficiency of team members through rigorous coaching and mentoring.
• Conducting thorough analyses to identify potential issues and ensure quality in manufacturing Testing Processes.
• Meticulously documenting and monitoring testing outcomes, establishing comprehensive remediation steps for identified problems.
• Demonstrating a detailed understanding of proper test case documentation and creating effective, focused testing plans
• Engaging in cross-departmental collaboration for cost-saving initiatives.
• Providing comprehensive specifications for proposed solutions, including accurate time and scope assessment.
• Establishing clear, measurable goals for all aspects of product testing and developing robust execution strategies.

Get to Know the Team

The Cyber Risk & Control team is part of Grab's Cyber Security - Cyber Assurance function. We keep Grab's operations secure and compliant across Southeast Asian markets where regulatory requirements vary by country and continue to develop. Our work covers cyber policy, risk, and compliance - we balance regulatory obligations with operational realities so Grab can move fast without compromising on security or stability. The scope ranges from quick risk reviews to multi-quarter, organisation-wide compliance programmes.

We are a fast-paced team and expect people to be self-starters - to take ownership of their work, hold themselves accountable, and drive things forward without needing to be prompted. We make decisions collaboratively and work toward consensus, but we ask tough questions when something needs to be challenged. We are building automation and AI tooling to modernise how risk management works at Grab's scale.

Get to Know the Role

This internship is in the Cyber Risk & Control team, reporting to the Senior Manager, Risk and Control. You will also work regularly with the Security Automation team and get direct visibility into how both teams operate and where they intersect. The work is hands-on from day one - you will build AI agents and automation workflows to cut manual effort out of risk and compliance processes, contribute to internal tooling, and build dashboards that surface risk insights.

You will be onsite at our Petaling Jaya office five days a week.

The Critical Tasks You Will Perform

• You will design and build AI agents to automate GRC workflows - control assessments, evidence collection, risk narrative generation - using approved AI platforms.
• You will write Python scripts and API integrations to connect GRC platforms, ticketing systems, and internal data sources, cutting out the manual handoffs that slow the team down.
• You will build dashboards that pull from security and compliance data sources, so partners at any level can read the risk picture without needing a walkthrough.
• You will contribute to internal GRC tooling - risk registers, control libraries, compliance tracking workflows - and keep them usable as the team's needs change.
• You will document what you build and walk the team through it. Nothing you deliver should become a black box once you leave.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Designing and modifying optimization and measurement commands, for Hard Disk Drive product, related to product read/ write operation.
• Designing and modifying test methods, running validation and reviewing parametric data, to assure firmware code quality.
• Troubleshoot failures/ problems occur during continuous integration tests or product integration tests

• Perform a variety of assigned tasks intended to develop professional knowledge and practical engineering skills.
• Apply standard engineering techniques, procedures, and established criteria in carrying out assigned work.
• Limited exercise of judgment is required on details of work and in making preliminary selections and adaptations of science alternatives.
• Support senior team members with technical tasks and documentation under supervision.

Job Overview

Reporting to the Senior Finance Executive, the Accounts Intern is to provide support in all aspects of the accounting function of the company.

Core responsibilities:

• Support in year-end and monthly closing, reconciliation, preparation of financial statements, GST reporting, cash flow and year-end audit.
• Help to handle data entry of accounts payable and receivable functions.
• Prepare schedules for external auditors during year-end audit, support Supervisor in suppliers and customers on billing and payment matters.
• Assist in dataentry for indirect procurement and preparing purchase orders.
• Assist in observing and verifying inventory count and reconciliation.
• Support and make active contributions to productivity and efficiency improvement initiatives across all departments (as and when required).
• Any other duties as and when assigned by Supervisor and Finance Manager

Job specifications:     

• Currently pursuing Diploma in Accounting and/or Finance.
• Proficient in Microsoft Office and computer skills.
• Meticulous in handling sensitive information, highly organized and efficient.
• Proactive, strong sense of accountability.
• Motivated to take on new challenges with strong desire to learn more about accounting and finance in an operational environment.

Period of Internship: August 2026 to February 2027