Total 51 Internship technical engineer job vacancies

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.

• Develop proof of concept of AI feature for automotive domain 
• Develop genAI tool for Software Development 

Working in Connector design team Department – Bosch Automotive R&D Center Vietnam – HCMC

• Assist Senior Simulation Engineer in different simulation topic in development project.

• Prepare input data for simulation, run simulation, prepare result report:

• Simplify CAD model for meshing and meshing by using NX software.
• Modelling & Simulation Setup (using simulation tool)
• Results Analysis & Evaluation and prepare customer report
• Using MATLAB do electric simulation

Internship Period: May to December 2026 (minimum commitment period of 4–6 months)

The intern would be engaged in a variety of job tasks, including but not limited to:

• Document the existing process for the current internal system.
• Partner with support to create a mobile app for internal maintenance using a rapid development platform.
• Transition the existing internal maintenance web portal to a new platform.
• Maintain the existing maintenance web portal, adding new features and performing bug fixes based on reported issues and team discussions.
• Build new applications according to evolving business needs.
• Integrate new applications with different internal and external systems.

Requirements

• Must be able to commit for 5 full work days.
• Familiarity with Node.js development will be an advantage.
• Ability to learn quickly and adapt to changing business requirements.
• Good communication and documentation skills.

My client:
My client is a global tech company with thousands of employees. They are looking for Frontend Engineers due to business expansion. This position focuses on large-scale user-facing and enterprise platforms. The team builds high-traffic products with real business impact in a fast-growing and engineering-driven environment.

Job Responsibilities:

• Develop and maintain scalable web applications
• Collaborate with backend, product, and design teams
• Optimize performance, usability, and system reliability
• Contribute to frontend architecture and best practices
• Troubleshoot and improve production systems

Job requirements:

• BS/MS degree in Computer Science or equivalent majors with experience in frontend development
• Good understanding of modern frontend architecture, React, TypeScript, JavaScript
• Commitment to producing high-quality, well-tested solutions
• Excellent problem-solving skill and the ability to work on complex technical challenges
• Good understanding of performance optimization and frontend architecture

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.

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.

www.dadaconsultants.com
Business Registration Number: 201735941W.
Licence Number: 18S9037

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)