Total 4 Internship technology development job vacancies in Engineering category in Singapore

Job Overview

We are a Semiconductor Equipment company.

These high precision machines are built, tuned and tested in house before shipping out.

You are responsible for the beginning (Preparation) & ending (Pre-Shipment) stages.

You will get to learn more on Windows OS, IPC, motor controllers, drivers, barcode scanners, vision camera and more.

Responsibility and Duties

Preparation:

• Prepare the software driver & application versions required in a PC; which is the heart of the machine.

• Once a system is firstly power up, configure its controllers & Drivers.

• Check through all the Inputs/Outputs, correspond to sensors & actuators.

• Check through all the motor axes, perform necessary tunning.

• Able to troubleshoot on the component level.

Pre-Shipment:

• Backup machine data.

• Perform antivirus scanning.

• Update setup procedures & user manual, if changes were made.

Skill Requirement

• Diploma or Degree in Electrical / Electronics / Computer Engineering or its equivalent ( students on vacation or students looking for a creditable internship to apply)

• Programming experience in dotnet C# is a plus.

• Good hands-on knowledge and interest in self improving job knowledge.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Work primarily in the production line environment, following safety protocols and cleanroom procedures
• Operate and maintain vacuum deposition equipment, performing chamber conditioning, process optimization, and recipe development under engineering supervision
• Perform thin film characterization using analytical techniques such as Ellipsometry, X-ray Reflectivity (XRR), and Raman Spectroscopy to evaluate film properties and process quality
• Collect, analyze, and interpret experimental data to evaluate process performance, identify trends, and recommend improvement opportunities
• Gather and summarize experimental data to support process decisions. Prepare clear, concise reports and presentations to communicate findings and insights to stakeholders
• Identify process risks and issues proactively. Provide timely and effective solutions to minimize disruptions and ensure experiment continuity
• Support the development and validation of new process conditions and deposition recipes to improve film quality and process efficiency
• Support the development and validation of new process conditions and deposition recipes to improve film quality and process efficiency
• Maintain experiment schedules, track milestones, and ensure timely completion of assigned tasks. Communicate progress clearly and follow up on deliverables

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

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Digital & Data Skills: Basic programming (e.g. Python, SQL), database handling, data analysis, and familiarity with AI concepts and web/system development.
• Project & Integration Awareness: Understanding of project management principles and ability to support integration across operations, qualification, and digital initiatives.

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.

Position Overview
We are looking for an AI Engineer Intern to support our object recognition initiative by building a high-quality computer vision dataset at scale (~1,000 physical objects).

This role focuses on data preparation, annotation, and quality assurance to ensure reliable model training and robust real-world performance (e.g., varying lighting, occlusion, motion blur, reflections). You will collaborate closely with AI engineers to define labeling standards, execute annotation efficiently, and continuously improve dataset quality through structured iteration.

Key Responsibilities

• Prepare and manage datasets: organize, clean, label, and maintain structure, metadata, and version tracking
• Ensure data quality: remove low-quality samples, handle edge cases (lighting, occlusion, blur, reflections), and support additional data collection
• Collaborate with AI engineers to iterate on datasets based on model performance and error analysis
• Support model evaluation: prepare test sets and review error patterns to improve data quality
• Build basic Python scripts for dataset validation and format conversion
• Gain exposure to training/evaluation workflows, real-world constraints (device performance, latency vs. accuracy), and cross-team collaboration (Data, AI, Game/Engine)