Developing automated driving requires a comprehensive, mature toolchain to collect, generate, utilize, and manage the data necessary for a safe and reliable solution. aiData is the most advanced, data-driven pipeline for automated driving, reducing complexity through high automation while maintaining 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 in the aiNotate team, you will take part in prototyping new solutions, porting prototypes as reliable modules into the auto-annotation pipeline generating training data for neural networks used in real-time self-driving applications, and improving and benchmarking existing solutions. You will work in different environments like driving on a highway, city and you will see your code running in aiMotive’s and customer’s data pipeline.

Job Summary

•  Research, develop and implement algorithms to improve the quality and robustness of the auto-annotation pipeline using supervised, self-supervised and active learning
• Develop detection and tracking solutions based on various sensor data
• Integrate prototype models into the auto-annotation pipeline

Key Qualifications

• MS, or PhD in Computer Science, Robotics, Physics, Mathematics, or related field
• Python programming skills
• Strong mathematical skills (linear algebra and probability distributions)
• Familiarity with neural network frameworks such as PyTorch, TensorFlow
• Intermediate English skills
• Ability to work independently and systematically

Considered as a plus

• Programming in C++, working in Linux
• Experience in Docker, Jenkins, Kubernetes
• Experience in image processing and traditional computer vision

What We Offer

• The opportunity to solve difficult problems with immediate real-world applications
• Competitive salary and fitness opportunities
• Free lunch every workday at one of the best all you can eat restaurants in Budapest
• Work on the hottest applied research problem at one of the fastest growing startup in Europe
• Develop solutions for the largest car manufacturers and their suppliers in the US, Europe and Asia
• Visit relevant international conferences, submit patents of new solutions
• We believe: people over process, we are keen to maintain a work-life balance