Total 53 Internship software test engineer job vacancies in Singapore

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

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.

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

About the Role

We are looking for a talented Robotics AI Software Engineer Intern to join our robotics software engineering team in Singapore. You will contribute to the development of software systems powering autonomous robots used in real-world environments.

The internship provides hands-on experience working on modern robotics technologies including ROS2, autonomous navigation, AI-enabled perception, sensor fusion, and robot system integration. You will collaborate with experienced robotics engineers and gain exposure to both simulation and real robot deployments.

Responsibilities

• Develop and improve software modules for autonomous robotic systems.
• Work on robotics components such as:
  - mission execution and robot behaviors
  - autonomous navigation workflows
  - docking and recovery behaviors
  - route execution and task logic
  - interfaces between onboard robot software and HMI / higher-level applications
  - AI-enabled scene understanding
  - data pipelines for robotics logs / sensor data
  - evaluation of AI learning-based perception or behavior modules
  
• Work with ROS2-based robotics systems and contribute to software integration across multiple subsystems.
• Assist in the development and customization of autonomous navigation-related components such as:
  - behavior trees
  - route / planner integrations
  - recovery behaviors
  - robot control and motion execution workflows
  
• Develop and test algorithms in simulation environments (e.g., Gazebo, Isaac Sim).
• Support debugging, validation, and performance analysis through logs, testing, and field trials on real robots.
• Collaborate with software, hardware, and systems engineers to deliver reliable robotic functionality.

Requirements

Education

• Currently pursuing a Bachelor’s or Master’s degree in:
  - Robotics
  - Computer Science
  - Electrical Engineering
  - Mechanical Engineering
  - Mechatronics
  - or a related field

Technical Skills (Preferred)

• Strong programming experience in C++ or Python
• Familiarity with Linux / Ubuntu
• Basic understanding of robotics concepts such as:
  - kinematics
  - motion planning
  - perception
  - control
  - behavior trees / state machines

• Experience or coursework in ROS / ROS2 is a strong plus
• Familiarity with sensors such as LiDAR, cameras, IMU, or GPS
• Experience with Git, Docker, CMake
• Exposure to simulation tools such as Gazebo, Isaac Sim
• Exposure to computer vision, machine learning, or AI for robotics is a plus

Bonus Experience (Nice to Have)

• ROS2 package development
• Computer vision or machine learning
• SLAM or localization algorithms
• Autonomous navigation frameworks (e.g., Nav2)
• Experience with PyTorch, OpenCV, or model inference pipelines
• Robotics competitions, research projects, or personal robotics / AI projects

What You Will Gain

• Real-world experience developing software for autonomous robots
• Exposure to modern robotics frameworks including ROS2, Nav2 and autonomous navigation systems
• Opportunity to work with real hardware platforms and large robotic systems
• Exposure to AI-enabled perception and autonomy workflows in robotics
• Mentorship from experienced robotics engineers
• Experience contributing to production-grade robotics software systems

About the Role

We are looking for a hands-on & experienced Mechatronics & Embedded Robotics Software Engineer Intern to join our robotics team in Singapore to help build the next generation of autonomous robots.

This is a deep engineering internship. You will work directly with senior engineers on robot hardware integration, drive-by-wire conversion, mechanical design, electronics integration, and system testing.

You will gain experience developing real autonomous robotic systems, working across mechanical engineering, electrical systems, and robotics hardware integration.

This role is ideal for final-year Mechanical / Mechatronics / EEE students who enjoy building real machines and want to pursue a career in robotics hardware or autonomous systems.

Responsibilities

• Support the drive-by-wire conversion of industrial machines into autonomous robotic platforms
• Design and modify mechanical components using CAD/CAM Software such as Solid Edge (3D modelling and assemblies)
• Assist in integrating actuators, motors, sensors, and control electronics
• Work on electrical wiring, connectors, and hardware interfaces for robotic systems
• Build and assemble mechanical and electrical subsystems on real robots
• Support hardware debugging, troubleshooting, and system validation
• Work with robotics engineers to integrate sensors such as LiDAR, cameras, GPS, IMU, and encoders
• Help prototype and fabricate components using manual machining, laser cutting, 3D printing or rapid prototyping
• Document designs, assemblies, and test procedures
• Participate in field testing and real-world robot experiments

Requirements

Education

• Currently pursuing a Bachelor’s or Master’s degree in:
  - Mechanical Engineering
  - Mechatronics Engineering
  - Electrical Engineering
  - Robotics Engineering
  - or related disciplines

Final year students are strongly encouraged to apply.

Technical Skills

• Experience with CAD/CAM Software (3D modelling, assemblies, 2D drawings)
• Basic understanding of DFM (Design for Manufacturing) for CNC, sheet metal or 3D Printing
• Strong understanding of mechanical systems and machine components
• Familiarity with electrical and electronic systems
• Experience working with motors, actuators, sensors, or embedded systems
• Comfortable working with tools, hardware assembly, and prototyping
• Basic understanding of control systems or robotics systems is a plus
• Ability to read industrial wiring schematics is a plus
• Familiarity with CAN bus, microcontrollers, or embedded electronics is beneficial

Preferred Experience (Nice to Have)

• Hands-on robotics projects or competitions
• Experience with drive-by-wire systems
• Experience with motor controllers, steering systems, or vehicle electronics
• Embedded systems (Arduino, STM32, ESP32, etc.)
• Rapid prototyping tools such as 3D printing
• Basic programming (Python, C++, or microcontroller programming)

What You Will Gain

• Hands-on experience building real autonomous robots
• Exposure to robotics hardware integration and system engineering
• Experience working on drive-by-wire vehicle conversion
• Opportunity to work closely with experienced robotics engineers
• Potential opportunity for full-time employment after the internship

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

As an AI Engineer Intern, you'll be part of a dynamic team focused on developing, refining, and deploying core AI features for our proprietary AI-driven products and solutions. You'll bridge the gap between AI research and application, translating innovative concepts into tangible, impactful features.

Key Responsibilities:

• Collaborate with cross-functional teams to design, develop, and implement AI features, focusing on areas like natural language processing, data analysis, and predictive modeling.

• Conduct research and rapid prototyping of the most suitable AI algorithms and techniques based on best practices, particularly those involving LLMs to address technical and business requirements.

• Write clean, well-tested, and well-documented code, contributing to efficient and maintainable system components.

• Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.

Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence or a related field.

• You are a team player that enjoys collaborating and communicating with diverse groups.

• You enjoy tackling large challenges and enjoy discovering problems as much as solving them.

• You are able to problem solve and adapt to changing priorities in a fast-paced dynamic environment.

• Able to commit to a 6 months full time internship duration.

• This is a full work-from-office (WFO) internship.

Skills You’ll Need to Bring:

• You have built or prototyped features with AI technologies (LLMs, Embeddings, Fine-Tuning).

• You have experience in agentic frameworks (e.g., ADK, LangChain) for building LLM-powered applications.

• You have strong technical skills in Python.

• You are adept at optimizing, refactoring, and improving Python code, ensuring our systems are efficient, scalable, and maintainable

Nice to Haves:

• Hands-on experience with cloud platforms (GCP).

• Demonstrated interest in advanced AI topics such as Reinforcement Learning (RL).

• Familiarity with processing multi-modal data (audio and video).

• Familiarity with Agile development methodology and collaboration tools (e.g., JIRA) for task management and sprint planning.

• Participate on IoT-enabled automation and integration projects for smart factory and industry 4.0 implementation.
• Learn on fundamentals of semiconductor processes and their application in real-world.
• Apply data analysis techniques to identify trends, optimize processes and improvements.
• Create reports and visualizations using software tools like Excel, JMP and Galaxy Examinator.
• Collaborate closely with engineers, gaining an understanding of entire workflow from design to execution.

• Gain practical exposure to semiconductor product and test engineering operations.
• Develop the ability to analyze production data to identify yield issues or abnormal test trends.
• Understand the workflow between product engineering, test engineering, and manufacturing teams.
• Participate in troubleshooting and improvement activities related to test programs and production performance.
• Build foundational technical knowledge relevant to careers in semiconductor manufacturing and test engineering.