Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
80,000+
Open Roles
4,500+
New This Week
DevOps Engineer
ContractHaifa
Contract • Haifa
DevOps Engineer
ContractMunich, DE
Contract • Munich, DE
Product Designer
Part-timeHamburg, DE
Part-time • Hamburg, DE
Mobile Developer
ContractHaifa
Contract • Haifa
Mobile Developer
Full-timeNiš, RS
Full-time • Niš, RS
AI Researcher
Part-timeNiš, RS
Part-time • Niš, RS
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).
