Developing automated driving requires a complete, mature toolchain to collect, generate, use and manage the data needed for a safe and robust solution. aiData is the most advanced, data-driven pipeline for automated driving that reduces the complexity of the processing with high automatization while still ensuring automotive quality. 

An accurate understanding of the surroundings of the vehicle is at the heart of self-driving applications, detecting and providing 3D properties of the objects surrounding the vehicle is one of the fundamental building blocks in delivering a reliable autonomous vehicle. In order to enable high-quality detections, error-free training data for neural networks is essential. As a Research Engineer Intern in the aiNotate team, you will take part in the development and testing of an automatic annotation pipeline. 

Job Summary 

• Development and maintenance of existing code base      
• Algorithm development for automatic annotation generation 
• Close cooperation with researcher colleagues 

Key Qualifications 

• Ongoing (active/passive) full-time university studies for at least one more year 
• At least 20-25 working hours/week
• Solid knowledge of C++ 
• Intermediate level English knowledge 
• Precise, reliable, quality focused attitude             

Considered as a plus 

• Experience in working with Docker, Kubernetes or other containerization technologies 

What We Offer 

• Possibility to gain valuable work experience at the forefront of the automotive R&D sector 
• Competitive student salary and long-term bonus system 
• Inspiring and supportive working environment 
• Teambuilding events and other benefits for students 
• Flexible working hours 
• Long-term job opportunity 
• Possibility of an immediate start 
• In-service training opportunity 
• Free lunch every workday, nearby at one of the best all-you-can-eat restaurants in Budapest or delivered by Wolt for Work