Responsibilities

• Research, develop, implement, and test artificial intelligence algorithms to enhance the quality and robustness of the static world model in automated vehicles.
• Focus areas include:
  • Road structure: lanes, curbs, drivable trajectories
  • Traffic sign and traffic light detection, including 3D position and classification
  • Producing maps of the static world based on detections
• Participate in designing the training and evaluation framework pipeline.
• Propose architecture changes and perform code reviews.
• Integrate prototype models into real-time self-driving systems.

Key Requirements

• BS, MS, or PhD in Robotics, Computer Science, Physics, Mathematics, or a related field.
• Minimum 3 years of experience in an engineering role.
• Strong Python programming and software design skills.
• Strong mathematical skills (linear algebra and probability distributions).
• Experience with deep learning frameworks (Pytorch/Tensorflow).
• Experience in computer vision.
• Experience in software development (git, code reviews, unit tests).
• Ability to work independently and systematically.

Considered as a Plus

• Programming in C++ and working in Linux.
• Experience in machine learning and data analysis.
• Experience with Docker, Jenkins, Kubernetes.
• Experience in robotics.
• Experience in developing safety-critical, embedded, or real-time systems.
• Experience in computer graphics, physics simulation, or other mathematics-intensive applications.

What We Offer

• Competitive salary and bonus system.
• Fitness opportunities.
• Corporate health insurance package.
• Free lunch every workday at one of the best all-you-can-eat restaurants in Budapest or delivered by Wolt for Work.
• Work on cutting-edge applied research problems in an agile culture, supported by a strong, stable, and future-proof industrial partnership.
• Develop solutions for one of the largest car manufacturers with a global reach.
• Test solutions in realistic simulated scenarios and a fleet of cars across multiple continents daily.
• Opportunity to see your solutions on the road.
• Attend relevant international conferences and submit patents for new solutions.
• Commitment to maintaining a work-life balance, prioritizing people over processes.