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 vehicles 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.
Requirements:
- graduates from leading universities
- . 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
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 t...
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 vehicles 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.
Requirements:
- graduates from leading universities
- . 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
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