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10 часов назад

Senior Robotics Engineer (ROS 2)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany/Switzerland
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
Senior Robotics Engineer (ROS 2): Developing and deploying software for mobile manipulators and industrial automation systems with an accent on motion planning, perception, control, and hardware integration. Focus on designing collision-avoidance and trajectory-optimization algorithms, integrating sensor-fusion and mapping systems, and optimizing robotic platforms for real-time production environments.

Location: On-site in Zurich, Switzerland, or Germany, including Stuttgart

Company

Develops robotic intelligence that enables robots to sense, reason, and act in industrial environments such as warehouses and factories.

What you will do

  • Develop, test, and deploy robotic software for motion planning, perception, and control.
  • Design algorithms for path planning, trajectory optimization, and collision avoidance.
  • Implement sensor fusion, localization, and mapping software.
  • Integrate robotic arms, grippers, sensors, and other hardware with multidisciplinary teams.
  • Use ROS 2 for real-time communication and modular robotic software.
  • Optimize and troubleshoot software and hardware systems for robust real-time operation in production.

Requirements

  • 3+ years of experience developing robotic systems or automation platforms.
  • Professional programming experience with Python and C++.
  • Solid experience with ROS 2, Gazebo, and simulation environments.
  • Experience with perception systems using cameras, LiDAR, or depth sensors.
  • Knowledge of robotic manipulators, vision systems, motion control, kinematics, dynamics, and system modeling.
  • Ability to collaborate on software and hardware integration in dynamic real-world environments.

Nice to have

  • Familiarity with cloud platforms and containerization tools such as Docker and Kubernetes.
  • Experience implementing machine learning techniques for robotic task execution.

Culture & Benefits

  • Flexible working hours.
  • Option to work from home when needed.
  • Gym membership through Wellpass.
  • Open corporate culture and a motivated team.
  • Competitive compensation and career development opportunities.

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