job description
Join Safe Truck as an AIoT R&D Engineering Intern and contribute to cutting-edge Mobility Intelligence and Research & Development projects. This is a unique opportunity to work on next-generation AI and IoT solutions that enhance safety, efficiency, and intelligence in commercial transportation. Based in the vibrant and innovative hub of Bali, Indonesia, you’ll collaborate with a dynamic team of engineers, data scientists, and product developers to shape the future of smart mobility.
As an intern, you’ll gain hands-on experience in AI model development, IoT sensor integration, data analytics, and real-world testing of intelligent systems. Whether you're passionate about machine learning, embedded systems, or cloud-based AI solutions, this role offers a platform to apply your skills to real-world challenges in the logistics and transportation industry.
Safe Truck is committed to fostering innovation and professional growth. You’ll have access to mentorship, training, and the chance to work on projects that make a tangible impact. If you’re a forward-thinking student or recent graduate eager to dive into AIoT, mobility tech, or R&D, we’d love to hear from you!
Responsibility
- Assist in the design, development, and testing of AI-driven algorithms for mobility intelligence applications.
- Collaborate with cross-functional teams to integrate IoT sensors and edge devices into vehicle systems.
- Collect, process, and analyze real-time data from connected vehicles to improve safety and operational efficiency.
- Support the prototyping and validation of machine learning models for predictive maintenance and driver assistance.
- Contribute to R&D documentation, including technical reports, user manuals, and API specifications.
- Participate in field testing and debugging of AIoT solutions in real-world environments.
- Research emerging technologies in AI, IoT, and autonomous systems to propose innovative solutions.
- Work closely with senior engineers to troubleshoot and optimize system performance.
Qualifications
- Currently pursuing or recently completed a degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Basic knowledge of Python, C++, or Java for algorithm development and data processing.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and IoT protocols (e.g., MQTT, LoRaWAN).
- Experience with data analysis tools (e.g., Pandas, NumPy, SQL) and visualization libraries (e.g., Matplotlib, Tableau).
- Understanding of embedded systems, Raspberry Pi, or Arduino is a plus.
- Strong problem-solving skills and a passion for AI, automation, and smart technologies.
- Excellent communication and teamwork abilities in a multidisciplinary R&D environment.
- Ability to commit to a 3-6 month internship with potential for extension based on performance.