Remote Motion Planning Engineer

BairesDev

Chile

Presencial

CLP 91.408.000 - 146.252.000

Jornada completa

Hace 13 días

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Ventajas ofrecidas por este puesto de trabajo

Remote work
USD compensation
Hardware provided
Flexible hours
Paid parental leave
Vacations & holidays
Multicultural team
Growth opportunities

Descripción de la vacante

BairesDev is seeking a Software Engineer (Motion Planning) to design and implement state-of-the-art motion planning algorithms for autonomous platforms. You will operate 100% remotely within a global team, contributing to high-impact projects across industries.

Bring 5+ years in robotics or autonomous vehicles, expert C++ skills, and proficiency in trajectory optimization and real-time MPC. Strong English required, with opportunities for mentorship and career growth.

Formación

  • 5+ years in software engineering with robotics or autonomous vehicles.
  • Expertise in motion planning algorithms (RRT, A*, lattice).
  • Strong C++ and trajectory optimization skills.
  • Experience with real-time constraints and MPC in autonomous systems.
  • Fluent in English.

Responsabilidades

  • Design and implement motion planning algorithms for autonomous platforms.
  • Optimize trajectory generation for safety, smoothness, and comfort.
  • Develop pathfinding using graph-based and sampling-based planners.
  • Collaborate with control and perception teams for system integration.
  • Enforce real-time execution standards to ensure responsiveness.
  • Validate planning logic via high-fidelity simulations and data analysis.

Conocimientos

Motion planning
C++
Trajectory optimization
Real-time systems
MPC
English proficiency

Descripción del empleo

BairesDev is seeking a Software Engineer (Motion Planning) to design and implement state-of-the-art motion planning algorithms for autonomous platforms. You will operate 100% remotely within a global team, contributing to high-impact projects across industries.

Bring 5+ years in robotics or autonomous vehicles, expert C++ skills, and proficiency in trajectory optimization and real-time MPC. Strong English required, with opportunities for mentorship and career growth.

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