Remote Planning Engineer – Motion Planning & MPC

BairesDev

Peru (IL)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Remote work
Competitive USD salary
Home office setup
Flexible hours
Parental leave
Paid holidays
Global collaboration
Mentorship & growth

Job summary

BairesDev is seeking a Planning Engineer to develop and implement advanced motion planning for autonomous systems, translating complex models into real-time pathfinding that ensures safe vehicle navigation.

The role requires 5+ years in software engineering or robotics, with strong C++ and MPC/trajectory optimization skills, and hands-on experience in autonomous navigation pipelines. 100% remote work with competitive USD compensation is offered.

Qualifications

  • 5+ years of experience in Software Engineering, Robotics, or Autonomous Systems.
  • Proven expertise in motion planning algorithms such as RRT, A*, and MPC.
  • Advanced proficiency in C++ and trajectory optimization techniques.
  • Solid understanding of real-time constraints and kinematic/dynamic modeling for robotics.
  • Hands‑on experience with autonomous vehicle navigation and decision‑making pipelines.
  • Advanced proficiency in English.

Responsibilities

  • Architect and deploy motion planning algorithms including RRT, A*, and lattice planners.
  • Optimize vehicle trajectories to ensure high-performance execution within real-time constraints.
  • Implement Model Predictive Control (MPC) strategies to manage complex system dynamics.
  • Collaborate on the integration of navigation pipelines with decision‑making logic and hardware.
  • Refine motion planning software to handle uncertainty and diverse environmental conditions.

Skills

C++
Motion planning
Real-time systems
Trajectory optimization
Autonomous vehicles
English proficiency
Robotics

Job description

BairesDev is seeking a Planning Engineer to develop and implement advanced motion planning for autonomous systems, translating complex models into real-time pathfinding that ensures safe vehicle navigation.

The role requires 5+ years in software engineering or robotics, with strong C++ and MPC/trajectory optimization skills, and hands-on experience in autonomous navigation pipelines. 100% remote work with competitive USD compensation is offered.

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