Motion Planning Algorithm Tech Lead | Autobrains Technologies · Teeming.ai
Autobrains Technologies
Autobrains is an industry-leading AI company specializing in affordable autonomous driving solutions powered by its patented Liquid AI technology. The company offers scalable front camera vision solutions compliant with global safety regulations and standards, enabling entry-level ADAS to full autonomous driving through its modular Skills product line. Autobrains' technology addresses key automotive AI challenges such as edge-case detection, high computational demands, and driver trust by mimicking human brain self-learning processes. With over 250 patents and more than $140 million raised, Autobrains has secured design wins in China and expanded globally with offices in Europe and Asia, positioning itself as a key player in automotive AI innovation.
Autobrains is an industry-leading AI company specializing in affordable autonomous driving solutions powered by its patented Liquid AI technology. The company offers scalable front camera vision solutions compliant with global safety regulations and standards, enabling entry-level ADAS to full autonomous driving through its modular Skills product line. Autobrains' technology addresses key automotive AI challenges such as edge-case detection, high computational demands, and driver trust by mimicking human brain self-learning processes. With over 250 patents and more than $140 million raised, Autobrains has secured design wins in China and expanded globally with offices in Europe and Asia, positioning itself as a key player in automotive AI innovation.
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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:
Requirements:
Experience:
5+ years in
motion planning
, control, or autonomous driving algorithms.
Advantage:
Familiarity with
Reinforcement Learning
or
Imitation Learning
for planning.
Potential to become a
mentor/leader
in the future.
🛠️ Required Skills & Qualifications
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.
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.
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).
