Remote Motion Planning Engineer | Flexible Hours & Growth

BairesDev; Colombia; On-site; COP 349,862,000 - 445,278,000; Full time

Benefits offered by this job

Remote work

Competitive USD compensation

Home office setup

Flexible hours

Parental leaves & vacations

Global team mentorship & growth

Diverse, multicultural environment

Job summary

BairesDev is seeking a Motion Planning Engineer to design and implement decision-making and path-execution logic for autonomous systems. You will craft efficient, collision-free trajectories for real-time navigation and collaborate with perception and control teams to integrate planning into the autonomy stack.

The role requires strong C++ skills and experience with motion planning algorithms, trajectory optimization, and real-time constraints.

Qualifications

• 5+ years of software engineering experience in robotics or autonomous vehicles.
• Advanced proficiency in C++ for real-time robotics.
• Experience implementing motion planning algorithms such as RRT, A*, or lattice planners.
• Experience with trajectory optimization and real-time constraints.

Responsibilities

• Architect and implement state-of-the-art motion planning algorithms for complex navigational tasks.
• Develop trajectory optimization techniques to ensure smooth and safe movement within dynamic environments.
• Address kinematic and dynamic constraints to maintain system stability and performance.
• Collaborate with perception and control teams to integrate planning logic into the full autonomy stack.
• Optimize high-performance code to meet strict real-time processing requirements.
• Evaluate and refine planning strategies through extensive simulation and testing.

Skills

C++

Motion planning

Trajectory optimization

RRT / A*

Kinematics

English

Job description

BairesDev is seeking a Motion Planning Engineer to design and implement decision-making and path-execution logic for autonomous systems. You will craft efficient, collision-free trajectories for real-time navigation and collaborate with perception and control teams to integrate planning into the autonomy stack.

The role requires strong C++ skills and experience with motion planning algorithms, trajectory optimization, and real-time constraints.