1 to 25 of 50 Permanent Lidar Jobs in England

/ML frameworks (e.g. PyTorch) and computer vision libraries (e.g., OpenCV, PCL, Open3D, CUDA). Familiarity with various depth sensing modalities (e.g., LiDAR, stereo vision, time‐of‐flight) and sensor fusion. Excellent problem‐solving skills, attention to detail, and ability to work in a dynamic environment. Preferred Qualifications: Master ...

maritime navigation and COLREG-compliant autonomous behaviours. Experience with ROS 2, DDS or comparable robotics frameworks. Familiarity with radar, EO/IR, AIS, GNSS, LiDAR, sonar and sensor fusion technologies. Knowledge of Model-Based Systems Engineering, SysML and digital engineering practices. Experience with C++, Python and modern software development methodologies. ...

world environments.You'll:* Develop and integrate mobile robotic systems, creating and maintaining ROS2-based software in Linux environments and integrating robotic platforms with cameras, LiDAR, depth sensors, edge computing hardware and other payloads.* Shape autonomous navigation capabilities, working with Nav2 or similar technologies across localisation, mapping, path planning, waypoint navigation ...

environments. You’ll: Develop and integrate mobile robotic systems, creating and maintaining ROS2-based software in Linux environments and integrating robotic platforms with cameras, LiDAR, depth sensors, edge computing hardware and other payloads. Shape autonomous navigation capabilities, working with Nav2 or similar technologies across localisation, mapping, path planning, waypoint navigation ...

real-world environments. Develop and integrate mobile robotic systems, creating and maintaining ROS2-based software in Linux environments and integrating robotic platforms with cameras, LiDAR, depth sensors, edge computing hardware and other payloads. Shape autonomous navigation capabilities, working with Nav2 or similar technologies across localisation, mapping, path planning, waypoint navigation ...

communication skills, able to explain complex technical concepts clearly Proven experience with ROS or ROS2 and/or DDS‐based systems Sensor fusion experience (LIDAR, RADAR, cameras, IMUs) Knowledge of deep‐learning‐based perception systems Experience using simulation tools such as Gazebo, CARLA, or Unreal Engine Familiarity with embedded ...

behaviours. Experience with ROS 2, DDS or comparable robotics middleware. Understanding of sensor fusion and autonomy sensors including radar, EO/IR, AIS, GNSS, lidar and sonar. Experience with Model-Based Systems Engineering (MBSE), SysML and digital engineering approaches. Knowledge of C++, Python and modern software development practices. Experience with ...

autonomous driving industry Proficiency in the C++ programming language Familiarity with hardware abstraction layers and device driver development Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras) and their integration with embedded systems Strong problem-solving skills and attention to detail Excellent communication and teamwork skills Ability to work ...

modelling vehicles, robots or their dynamicsExperience with middleware or integrating components across complex software systemsExperience working with sensor data such as camera, radar, lidar or GNSS, including modelling uncertainty or noiseExperience integrating machine-learning inference into production systemsExperience with performance profiling, observability or debugging distributed systemsFamiliarity with large-scale batch ...

robotics middleware (e.g., ROS 2, DDS) and core coding languages (C++, Python). Familiarity with maritime sensor suites (Radar, EO/IR, AIS, Sonar, Lidar, GNSS) and multi-sensor fusion systems. Experience applying Model-Based Systems Engineering (MBSE)/SysML methodologies. Chartered Engineer (CEng) status, INCOSE accreditation, or active ...

autonomous driving or aerospace applications Working knowledge of C/C++ Experience working with ROS or robotics sensors (IMU, GPS/GNSS, LIDAR, RADAR, Cameras, etc.) Experience with model-based design and modelling tools such as UML and/or SysML Understanding of state-space control and advanced controller architectures ...

failure means mission abort. CORE RESPONSIBILITIES Design and deploy perception pipelines for Arctic autonomous platforms (surface, subsurface, aerial) Fuse multi-modal sensor data (vision, LiDAR, radar, IMU, GNSS) for situational awareness and autonomy Build ML models for ice classification, terrain mapping, and obstacle detection in low-visibility conditions Train, evaluate ...

agile development and release process Skills Deep technical proficiency and experience of improving the quality of remotely sensed 2D & 3D datasets (imagery, LiDAR) and geospatial data at scale Thorough understanding and practical experience of implementing workflow tools and/or frameworks to monitor quality across the data production lifecycle Domain ...

experience with ROS/ROS 2* Proficiency in simulation tools and algorithm development (e.g., Python, C++, MATLAB)* Experience working with sensor integration (e.g., LiDAR, IMU, cameras)* Familiarity with field testing and real-world system validationIf you're excited about this role but don’t meet every requirement, we still encourage ...

navigation and COLREG-aware behaviours. ROS 2, DDS (or comparable robotics middleware). Sensor fusion + autonomy sensors (radar, EO/IR, AIS, GNSS, lidar, sonar). MBSE/SysML/digital engineering. C++/Python and modern software delivery practices. ODDs, CONOPS, human-machine interaction models. Prior design authority ...

What We're Looking For Deep expertise in classical SLAM and multi‐view geometry, including extensive hands‐on experience with state estimation, visual/LiDAR odometry, and multi‐sensor fusion. Experience handling backend map optimization and solving the unique structural challenges associated with long‐term mapping in large or changing ...

electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware. Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective. A design‐for‐serviceability mindset — you think about the technician in the field ...

ability to contribute to effective teaching. You will have a track record of internationally recognised publications in sensor design, including optical, event-based, radar, LiDAR, acoustic, tactile, force, inertial, thermal, chemical, biosensing, and multimodal sensor systems, and have expertise in one of more application areas such as computer vision, sensor ...

controllers (PID, EKF/INS parameters) and support flight testing across a range of airframes. Integrate sensors and payloads (GNSS/INS, IMU, airspeed, lidar, cameras) over MAVLink, CAN, UART, and I2C/SPI interfaces. Work with ground control stations (Mission Planner, QGroundControl) and support telemetry/command-and-control ...

work will help make Wayve's AI model training possible at scale. Key responsibilities: Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale Contribute to the technical design of the Data Transfer Hub, making pragmatic ...

visualise and annotate their data. We handle a wide range of data modalities, including image, video, audio, text, PDFs, medical images, and data from LiDAR and other sensors in robots and autonomous vehicles. For this role, we are particularly looking for engineers who are excited about technically challenging frontend work ...

/CD tools Understanding of systems integration, testing, or comms protocols Ability to work with hardware or real-world data systems Experience with LiDAR or robotics systems Knowledge of Azure DevOps, SVN, or PLCs ...

safety controllers and safe stop functionality; Develop and integrate embedded software and vehicle control interfaces (CAN, drive‐by‐wire); Define and deliver sensor integration (LiDAR, radar, cameras, GPS/IMU); Execute vehicle‐level testing and validation, including field trials; Support functional safety activities (HARA, safety case, certification readiness); Other duties ...

within Agile and cross-functional engineering environments Desired skills Experience with ADAS testing, validation, and vehicle integration activities Knowledge of ADAS sensors (Radar, Camera, LiDAR, Ultrasonic), vehicle networks, and diagnostics Familiarity with automotive release/configuration management tools and structured problem-solving techniques (e.g. 8D, RCA, Six Sigma) Understanding ...

robotics data. We don’t just react to an order book tick - you will need to handle large 3D scenes, hour-long videos, LIDAR point clouds, and ML inference, all under tight performance and operational budgets. Why now? A year ago we were a team ...