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Robotics Systems Lead

  • Remote
  • Sweden
  • English
  • Posted 28.08.26

We're partnering with an exciting robotics and AI company looking for a Head of Robotics Data Collection Systems to lead the development and deployment of their end-to-end data capture infrastructure. This is a hands-on leadership role for someone who has built and scaled real-world robotics or sensing systems. You'll own everything from hardware integration and sensor calibration through to deployment strategy, field reliability and operational excellence—ensuring high-quality robotics data is captured consistently across multiple environments. What you'll be doingOwn the end-to-end robotics data collection platform, including hardware, sensors, calibration, synchronisation and deployment.Develop scalable capture processes that deliver reliable, high-quality data across teams, partners and field locations.Lead the technical roadmap for capture infrastructure, making key build vs. buy decisions and driving future platform strategy.Troubleshoot and eliminate data integrity issues before they impact downstream AI and machine learning workflows.Build deployment playbooks, validation processes and operational standards to support global scaling.Lead a multidisciplinary team of robotics engineers, technicians and external partners.Collaborate with Research, Platform Engineering and Operations to ensure data collection supports next-generation robotics and Physical AI development. What we're looking forExperience delivering field-deployed robotics, autonomous systems or sensor-based platforms.Strong understanding of sensor integration, calibration, synchronisation and data capture reliability.Experience with robotics data collection, teleoperation or multimodal sensing systems.Hands-on knowledge of ROS/ROS 2 or similar robotics middleware.Strong debugging skills across hardware, sensors, networking and embedded systems.Proven ability to lead technical teams while driving operational excellence and scalable deployment. Nice to have skills Experience with technologies such as MCAP, rosbag, OpenCV, FFmpeg, PTP/NTP, depth cameras, IMUs, motion capture, robot arms or mobile robotics would be highly beneficial, as would experience supporting large-scale robotics deployments or Physical AI data collection programmes. If you're passionate about building robust robotics systems that enable cutting-edge AI, we'd love to hear from you!