1 to 25 of 38 Permanent Lidar Jobs in England

from concept through testing, validation, and deployment Strong Python and C++ programming skills Experience with OpenCV, PyTorch, TensorFlow, or similar frameworks Knowledge of camera, LiDAR, or multi-sensor perception systems Experience with software testing, integration, and Git-based development workflows Experience in robotics, autonomous systems, embedded software, or safety-critical ...

Python, C/C++, or MATLAB Experience with frameworks such as OpenCV, TensorFlow, PyTorch, or similar computer vision toolkits Knowledge of camera systems, LiDAR, and perception sensor technologies Experience with software testing, integration, and version control tools such as Git Knowledge of robotics, autonomous systems, sensor fusion, or spacecraft systems ...

following skills and experience. Essential Strong practical expertise in sensor calibration, state estimation or a closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters or multi-sensor systems. Strong understanding of filtering and estimation methods, such as Kalman-family filters, Bayesian estimation, smoothing, robust estimation or factor ...

following skills and experience. Essential Strong practical expertise in sensor calibration, state estimation or a closely related robotics domain, including calibration of cameras, LiDAR, IMUs, vehicle parameters or multi-sensor systems.Strong understanding of filtering and estimation methods, such as Kalman-family filters, Bayesian estimation, smoothing, robust estimation or factor-graph ...

Experience developing or maintaining autonomous vehicle software stacks (ROS/ROS2) Cloud-based simulation infrastructure and large-scale distributed test execution Sensor modelling (camera, lidar, radar), environment generation, or perception ground-truth pipelines Automated testing, continuous integration, and data-driven validation Log/bag re-simulation from recorded real-world ...

workflows or simulation environments. Experience with navigation, sensing or communications technologies such as sensor fusion, state estimation, visual navigation, localisation, mapping, RTK/GNSS, lidar, stereo vision, optical flow, line tracking, RF, LTE/5G, Wi-Fi, mesh networks or telemetry systems. Experience with safety cases, FMEA, test evidence, compliance ...

will Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar). Build and maintain data collection and evaluation (metrics) pipeline. Develop a proprietary multi-modal dataset for training and evaluation. Train, deploy and monitor 2D/3D object detection models to production. Experiment SOTA models’ performance. Mentor ...

looking for the following skills and experience.Essential 8+ years in ML engineering, including hands-on computer vision with camera and/or lidar sensor data, and a track record of shipping production ML systems from research through to reliable, monitored, customer-facing software.2+ years line-managing or tech-leading senior ...

similar embedded computing platformsExperience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge plusKnowledge of sensor technologies (e.g., LiDAR, RADAR, cameras)Experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partnersUnderstanding of safety-critical software development and automotive standards (e.g. ...

modular design, debugging, testing) STEM degree or equivalent (robotics, computer science, engineering, or related) Desirable: ROS 2, embedded systems, hardware drivers Sensors (cameras, IMUs, LiDAR), CAN protocols, Docker Apply today with an up to date CV to be considered for this exciting new Robotics Software Engineer role. ...

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 ...

businesses, scale-ups or technology companies. Experience in any of the following would be an added bonus, but isn't essential: Computer vision hardware, LiDAR, GPS or advanced sensor integration. Industrial or consumer product development. PCB design tools such as Altium, KiCad or Eagle. Team leadership or mentoring. Using ...

highway equipment, or industrial automation (projects, coursework, internships, or personal projects). Familiarity with sensors/actuators used in robotic systems (e.g., cameras/LiDAR, encoders, motors, servos, safety devices) and their considerations for installation. Experience with Siemens NX and/or Siemens Teamcenter (or comparable CAD/PDM tools ...

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 ...

Your 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 scaleContribute to the technical design of the Data Transfer Hub, making pragmatic trade ...

/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 ...

with low levels of supervision to defined objectives;Excellent attention to detail and problem-solving skills.Desirable Skills:Autonomous systems/ROS2 experience;Sensor systems (LiDAR, GPS/RTK, cameras, radar);CAN bus and vehicle systems;Functional safety validation (ISO 13849/ISO 12100);Data logging and telemetry tools.What we OfferWork ...

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 ...

learning to sensor data, embedded AI and large-scale ML infrastructure.What’s in it for you Deploy ML onto real autonomous platformsWork with imagery, LiDAR, telemetry and sensor dataTake models from experimentation through to real-world deploymentWork closely with ML, hardware and systems engineersTackle problems across deep learning, computer vision ...

systems through strong software architecture, testing, monitoring, and maintainability practices. Optimise data and training pipelines to support multi-modal data sources, including camera, radar, lidar, and other sensor data. Contribute to the evolution of Wayve’s AI platform as we scale our autonomous driving capabilities. About you We’re looking ...

systems through strong software architecture, testing, monitoring, and maintainability practices.Optimise data and training pipelines to support multi-modal data sources, including camera, radar, lidar, and other sensor data.Contribute to the evolution of Wayve’s AI platform as we scale our autonomous driving capabilities.About youWe’re looking for a strong software ...

serial, Ethernet) and working with technical/system/wiring diagrams.Experience integrating and testing UAS payloads and sensors (EO/IR/EW/LIDAR etc.) and comms/RC/datalink systems, including RF cabling.Control, Navigation and A-PNT Expertise:Demonstrable experience with A-PNT sensor sources for stabilisation ...

step sampling, KV caching, or other inference-speed work on large generative models.AV/robotics/simulation; multi-sensor driving data (video, telemetry; LiDAR a plus).Productionising research: Flyte/Ray/Spark-style jobs, dataset lineage, training mix configuration.Reward models, offline RL, or closed-loop evaluation of driving policies.Cloud ...

deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you’re comfortable owning work end-to-end, including evaluation and dataset generation. You enjoy pragmatic problem-solving ...