Motion Planning Algorithm Tech Lead

2 days ago

Tel Aviv, Tel Aviv, Israel Autobrains Technologies Full time ₪120,000 - ₪180,000 per year

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 in 
    motion planning
    , control, or autonomous driving algorithms.
  • Education:
     M.Sc. or Ph.D. (Computer Science, Robotics, etc.).
  • Technical Deep Dive:
     Expert knowledge of 
    trajectory optimization
    , vehicle kinematics, and real-time control.
  • Coding:
     Proficiency in 
    C++/Python
     in real-time/embedded systems.
  • Mindset:
     Excellent problem-solver with a strong 
    ownership
     mentality.

Advantage:

  • Familiarity with 
    Reinforcement Learning
     or 
    Imitation Learning
     for planning.
  • Potential to become a 
    mentor/leader
     in the future.

Required Skills & Qualifications

  • 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).

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