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6 дней назад

Autonomous Motion Planning & Control Engineer (Logistics Robotics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Autonomous Motion Planning & Control Engineer (Logistics Robotics): Developing and deploying planning, trajectory generation, and advanced control algorithms for autonomous guided forklifts with an accent on MPC, obstacle avoidance, kinematic constraints, and real-world robot integration. Focus on diagnosing and solving path-tracking instability, constrained warehouse navigation, localization, actuation, and real-time deployment challenges.

Location: Tokyo, Japan; hybrid workplace

Company

Develops autonomous guided forklifts and logistics robotics systems for real-world warehouse environments.

What you will do

  • Design, implement, and deploy global and local path-planning and motion-planning algorithms.
  • Develop trajectory generation, optimization, tracking, path-following, obstacle avoidance, collision checking, and recovery behaviors.
  • Design and tune MPC or equivalent advanced motion and trajectory controllers for physical robots.
  • Integrate planning and control with SLAM, localization, perception, odometry, and vehicle-control systems.
  • Develop and maintain navigation software with ROS/ROS2, test algorithms in simulation and on physical robots, and optimize real-time performance.
  • Diagnose path deviation, oscillations, unstable motion, deadlocks, inefficient trajectories, and other real-world autonomy issues.

Requirements

  • Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field.
  • 3+ years of hands-on experience in motion planning, navigation, or control for mobile robots or autonomous systems.
  • Strong knowledge of path and motion planning, trajectory generation and tracking, robot kinematics, coordinate transformations, and non-holonomic motion models.
  • Hands-on experience implementing and deploying MPC or equivalent advanced controllers on real robots.
  • Strong C++ skills, with experience in ROS/ROS2, Linux, Git, perception, localization, odometry, RViz/RViz2, simulation, and real-robot testing.
  • Ability to take algorithms from concept through implementation, simulation, debugging, and real-world deployment.

Nice to have

  • Experience with forklifts, AMRs, AGVs, autonomous vehicles, or warehouse robotics.
  • Experience with forklift, steering-based, or Ackermann kinematics and industrial robot safety.
  • Experience with Nav2, ROS2 Navigation Stack, A*, Hybrid A*, Dijkstra, RRT/RRT*, DWA, TEB, or similar planning methods.
  • Experience with trajectory and constrained optimization, embedded real-time systems, Gazebo, Isaac Sim, or other robotics simulators.

Culture & Benefits

  • Hybrid work arrangement in Tokyo.
  • Focus on taking autonomous-motion algorithms from deep technical development to reliable physical-robot deployment.

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