Motion Planning Algorithm Tech Lead at Autobrains Technologies

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Motion Planning, Trajectory Optimization, Vehicle Kinematics, Real-Time Control, C++, Python, Model Predictive Control, Sampling-Based Planners, Neural Networks, Imitation Learning, Reinforcement Learning, Safety Integration, Collaboration, Problem-Solving, Ownership Mindset, Mentorship

Industry

Software Development

Description

Description This is a senior, hands-on expert role focused on developing the core algorithms that enable an autonomous vehicle to make real-time, local driving decisions (L2++/L3 autonomy). You will be the owner and lead developer of the Local Planner component. This system is responsible for generating safe, efficient, and executable trajectories (paths) for the vehicle in real-time, considering all vehicle limits and safety rules. Responsibilities Design & Development: Create, optimize, and implement high-performance Motion Planning algorithms for real-time trajectory generation and control. Core Algorithms: Implement and tune traditional planning approaches, including both optimization-based (like Model Predictive Control - MPC) and sampling-based planners (lattice, graph search). Cutting-Edge Research: Stay up-to-date with the state-of-the-art in planning, including Neural Network (NN)-based planning (Imitation Learning, Reinforcement Learning). Benchmark these methods and potentially participate in future porting/integration efforts. Integration & Safety: Integrate vehicle dynamics, kinematic constraints, and safety margins into the planning process. Collaboration: Partner with Perception, Prediction, and Control teams to ensure smooth trajectory execution. Ownership: Own the Motion Planning component from concept to on-road validation, including customer-facing support and validation trips. Requirements Experience: 5+ years of hands-on experience in motion planning, control, or autonomous driving algorithms. Education: M.Sc. or Ph.D. (Computer Science, Robotics, Electrical/Mechanical Engineering, or related field). Technical Expertise: Strong knowledge of trajectory optimization, vehicle kinematics, and real-time control. Coding: Proficiency in C++/Python, with experience in real-time or embedded environments. Professional Attributes: Excellent problem-solving skills and a strong ownership mindset. Willingness to travel for on-site validation and customer engagement. Ability to act as a customer-facing representative for the planning component. Potential to mentor and lead in the future (not a management role today). Attributes None In the first two months, you’ll None

Responsibilities

The role involves designing, developing, and optimizing high-performance motion planning algorithms for real-time trajectory generation and control. The candidate will also integrate vehicle dynamics and collaborate with other teams to ensure smooth trajectory execution.