We are seeking a motivated and skilled Jr. Algorithm Engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving.

This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses.

Responsibilities

• Be part of the development of four key domains:
• Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior.
• Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms.
• Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers.
• Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
• Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
• Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.

Qualifications

• B.Sc graduates from leading universities
• M.Sc. or equivalent in Computer Science, Electrical Engineering, Physics, or another quantitative field from a leading university - advantage
• Hands-on experience either from academic projects or the industry in developing machine learning algorithms in one or more of the following areas: motion planning, decision-making, control theory, or state estimation (e.g., SLAM, sensor fusion)
• Proficiency in both Python and C++ programming
• Previous experience as an engineer part of a multi-disciplinary R&D team in autonomous systems, robotics, or a related field - advantage