Role overview
aiMotive began developing its innovative aiSim in the nascent days of simulation in automated driving. Building this expertise has allowed us to create the first ISO26262 certified tool available to the broader automotive industry. TCL 3 enables aiSim to be an integral part of a development and verification toolchain up to ASIL D, ensuring deterministic, realistic, and repeatable testing.
We believe that simulation is the only safe and efficient way to bring automated driving solutions to the road. If you are interested in state-of-the-art AI algorithms and want to participate in the groundbreaking journey of self-driving vehicles, join us to develop together the best simulation solution already used by the leading companies in the industry.
Check out our latest video about aiSim:
aiSim World Extractor | High-Fidelity 3D Environment Generation - aiMotive
Job Summary
- Design, research and develop real-time artificial intelligence algorithms to control the behavior of simulated agents (e.g., vehicles and pedestrians) in aiSim.
- Measure the correlation between simulated and real-world agent behaviors.
- Collaborate with teams across the company to integrate models and experiments effectively.
Key Requirements
- PhD in Robotics, Computer Science, Physics, Mathematics, or a related field, or a minimum of 3 years of industrial experience in Machine Learning
- Strong Python programming and software design skills
- Strong mathematical skills (calculus, linear algebra and probability distributions)
- Experience in Pytorch
- Strong understanding of Transformer architectures, tokenization techniques, and autoregressive prediction models
- Experience with Graph Neural Networks (GNNs) and their application to complex structured data
- Hands-on experience working with large-scale autonomous driving datasets and formats (e.g. KITTI, nuScenes, Waymo, OpenLABEL)
- Solid knowledge of SD and HD maps and their role in perception and planning systems
- Strong understanding of coordinate systems, spatial transformations, and multi-sensor data alignment
- Experience with distributed training techniques for large-scale deep learning models
- Experience in software development (git, code reviews, unit tests)
- Ability to work independently and systematically
- Strong communication skills and fluency in English (spoken and written)
Considered as a plus
- Programming in C++
- Experience in computer vision
- Experience in computer graphics, physics simulation or other mathematics-intensive applications
- Game AI development experience
What We Offer
- Competitive salary
- Fitness opportunities
- Corporate health insurance package
- Free lunch every workday, nearby at one of the best all-you-can-eat restaurants in Budapest or delivered by Wolt for Work
- Work on the hottest applied research problem in an agile working culture, backed by a strong, stable and future-proof industrial partnership
- Develop solutions for one of the largest car manufacturer with a global reach
- We believe: people over process, we are keen to maintain a work-life balance