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Lead Robotics Validation Engineer

SoftServe

🇬🇧 English
C++ Python ROS ROS2 IsaacSim Gazebo Webots SLAM localization mapping path planning sensor fusion LiDAR IMU odometry radar GPS oscilloscope logic analyser SIL testing Docker Kubernetes GitHub Actions Jenkins GitLab CI Grafana PlotJuggler

Job description

About the role

The Robotics Operation and Integration team within SoftServe Robotics Group is seeking a Lead Robotics Validation Engineer. You will define, design, and execute validation frameworks for advanced robotic systems spanning hardware, software, and cloud integration, ensuring performance, reliability, and safety.

Key responsibilities

  • Design and develop validation solutions for diverse robotic platforms including humanoids, mobile robots, arms, and drones.
  • Build and validate rapid prototypes as well as production‑ready robotic solutions.
  • Test robotic systems in simulation environments and real‑world settings.
  • Integrate robots with cloud services and automate testing workflows.
  • Research and experiment with cutting‑edge navigation, sensing, and decision‑making technologies.
  • Collaborate across hardware, software, and cloud teams to define validation metrics and improve product reliability.

Required profile

  • Degree in Robotics, Computer Science, Electrical Engineering or a related field.
  • Strong knowledge of robotics principles, control systems, and algorithms.
  • Experience in software testing and QA for embedded and robotic systems.
  • Detail‑oriented, analytical mindset with strong problem‑solving skills.
  • Proven ability to work collaboratively across hardware, software, and cloud domains.

Required skills

  • C++ programming
  • Python programming
  • ROS / ROS2
  • Robotics simulation tools (IsaacSim, Gazebo, Webots or equivalents)
  • SLAM, localization, mapping, path planning, sensor fusion (LiDAR, IMU, visual, odometry, radar, GPS)
  • Hardware validation tools (oscilloscope, logic analyser)
  • HIL/SIL testing frameworks and cloud‑based robotics management systems
  • Containerisation and orchestration (Docker, Kubernetes)
  • CI/CD integration (GitHub Actions, Jenkins, GitLab CI)
  • Data‑visualisation tools (Grafana, PlotJuggler or custom dashboards)

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Published 3 weeks ago

Expires 1 month from now

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