aiDrive is an inherently scalable self-driving full-stack software. Utilizing an economical vision-first redundant sensor setup aiDrive offers a safe autonomous experience. Relying on powerful artificial intelligence and robust sensor fusion it is prepared for self-driving in any environment, climate, or driving culture. Its simulator-tested and real-world-proven autonomous valet parking and highway autopilot capabilities are under constant public road testing in Hungary and in the US. 

Our automated driving SW stack aiDrive will be deployed to millions of production vehicles in the upcoming years, thanks to our recently announced OEM partnership. In the course of this development journey, you will be able to impact and witness the creation of state-of-the-art automated driving applications on highways, interurban and urban areas, as well as parking situations, using the latest automotive sensor technologies and advanced machine learning algorithms. All this will be supported by fleet data at scale, paired with our unique data pipeline and infrastructure as provided by aiMotive’s aiData.

As a Research Engineer Intern in the aiDrive department, you will take part in prototyping new solutions, improving and benchmarking existing solutions related to static environment mapping, ie. detecting lanes, stop-lines, traffic lights, traffic signs, etc. You will work on solutions deployed in different environments like driving on a highway, city and you will see your code running in real cars on multiple continents. 

Job Summary 

• Research, develop, implement, and test algorithms for static environment detection in self-driving cars 
• Special focus on: 
  • Analysis of input and output data distribution and benchmarking 
  • Develop new metrics for various self-driving features 
  • Implement visualizations for detection errors
  • Maintain existing benchmarks and metrics

Key Requirements 

• Ongoing (active/passive) full-time university studies for at least one more year  in Ro-botics, Computer Science, Physics, Mathematics, or related field  
• Strong mathematical skills (linear algebra and probability distributions) 
• Programming in Python, working in Linux  
• Ability to work independently and systematically 
• Intermediate level of English knowledge  
• At least 20-25 working hours/week
• Precise, reliable, quality focused attitude 
• Independent and proactive attitude   

Considered as a plus 

• C++ programming and software design skills  
• Experience in machine learning and data analysis  
• Experience in robotics  
• Experience in computer graphics, physics simulation or other mathematics-intensive applications 

What We Offer 

• Possibility to gain valuable work experience at the forefront of the automotive R&D sector  
• Competitive student salary and 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 at one of the best all you can eat restaurants in Budapest or delivered by Wolt for Work 
• Fitness opportunity