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Senior Robotics Engineer (Algorithms, ML & Software)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Robotics Engineer (Algorithms, ML & Software): Designing and integrating robotics algorithms and ML-based systems across the full autonomy stack with an accent on perception, state estimation, and motion planning. Focus on deploying and optimizing robotics software on embedded platforms and solving complex system-level autonomy issues.

Location: Belgrade, Serbia; permanent position

Company

hirify.global develops mmWave radar sensors, perception solutions, and full-stack embedded systems for robotics and autonomous applications.

What you will do

  • Develop and integrate robotics algorithms and machine-learning systems for perception, state estimation, planning, and control.
  • Integrate camera, LiDAR, radar, and IMU outputs into autonomy and decision-making stacks.
  • Build and maintain robot software stacks for diverse robotic platforms.
  • Implement and tune localization, mapping, sensor fusion, motion planning, trajectory optimization, and learning-based behavior algorithms.
  • Deploy and optimize robotics software on embedded and edge-compute platforms.
  • Integrate autonomy stacks into real robots for demonstrations, testing, customer use, and system-level debugging.

Requirements

  • Bachelor’s degree or higher in Robotics, Computer Science, or a related field.
  • Strong foundation in state estimation, sensor fusion, motion planning, control, localization, and mapping.
  • Strong software engineering skills in C++ and/or Python.
  • Experience deploying robotics algorithms on real robotic platforms.
  • Ability to work across the full autonomy stack and collaborate with perception and vision teams.

Nice to have

  • 6+ years of experience in robotics algorithms, autonomy, or robotics software engineering.
  • Experience with ROS, ROS 2, and modern robotics middleware.
  • Experience with learning-based robotics, reinforcement learning, imitation learning, or integrating ML models into real-time robotic systems.
  • Experience with simulation tools such as Gazebo or Isaac Sim.
  • Experience across mobile, manipulation, or legged robot platforms.

Culture & Benefits

  • Positive, creative, and relaxed working environment.
  • Flexible working hours.
  • Private health insurance.
  • Stable long-term career opportunities in a growing company.

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