1 to 25 of 26 Lidar Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

time photo-realistic rendering, advanced features like depth of field, and state-of-the-art techniques never seen before. Sensors of every kind: cameras, lidar, IMU, contact forces, temperature, plus arguably the most advanced tactile simulation available (paper). And the engine keeps growing: we are developing internally the most ...

background with hands‐on experience diagnosing and repairing complex electromechanical products or robots. Strong grasp of power distribution, battery systems, wiring harnesses, connectors, sensors (LiDAR, cameras), and actuator drive electronics from a maintainability standpoint. Confident reading schematics and wiring diagrams, using electrical test equipment (multimeter, oscilloscope, and similar), and defining ...

evidence of original technical contribution and domain authority Nice to Have: Background in neuroscience, neuromonitoring, or cerebrovascular physiology Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity of algorithm validation ...

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 ...

requirements. Lead the development of robust state-estimation systems that fuse GNSS, IMU and wheel-odometry signals, with scope to incorporate camera-, RADAR- and LiDAR-based measurements. Take localisation solutions from algorithm design and prototyping through production implementation and deployment on real-time vehicle platforms, including robust fault handling and … Evidence of hands‐on technical leadership, including defining architecture, influencing technical roadmaps, mentoring engineers and collaborating effectively across multiple teams. Desirable Experience incorporating camera-, LiDAR- or RADAR-based measurements into localisation and sensor-fusion systems, including visual, LiDAR or RADAR odometry. Hands‐on experience with nonlinear optimisation and robotics libraries ...

and scalable data generation, including auto-labelling, to accelerate model development. You will collaborate with teams working on perception, tracking, and 3D reconstruction, applying LiDAR and camera data, with hybrid in-office/remote collaboration and access to Wayve's global locations. #J-18808-Ljbffr ...

scientists, engineers, and market experts based across London, New York, São Paulo, Singapore, and Tokyo. Our work spans market intelligence, geospatial analytics, multi-scale lidar research, and policy analysis. We partner with governments and policymakers to raise the bar for transparency and rigour across carbon markets. Backed by over … equations—statistical models that estimate carbon storage based on tree measurements—but these can introduce significant uncertainties. Our team has developed innovative multi-scale lidar methods https://www.nature.com/articles/s43247-024-01448-x using cutting-edge terrestrial, drone, and airborne laser scanning technology to directly measure ...

resourceful, calm and safety-minded approach when working alone A full driving licence and a valid passport Nice to have Observatory, telescope or lidar experience Laser safety training Spanish speaking What We Offer A high-impact role with real ownership at an early-stage, venture-backed spacetech company EMI share ...

security and automatic door markets. Its security portfolio incorporates advanced indoor and outdoor intrusion detection technologies, including PIR sensors, infrared beams and award-winning LiDAR-based detection systems. These solutions are used to protect everything from homes and commercial premises to warehouses, high-security sites and critical infrastructure. Known throughout ...

stability Laser safety knowledge (IEC 60825 or equivalent) Confidence working with suppliers on specifications and failure investigations Nice to have Satellite laser ranging or lidar experience Laser-induced damage threshold testing Harmonic generation Lasers deployed in the field What We Offer A high-impact role with real ownership ...

mensagens, etc.). Justificar a escolha dos padrões em relação aos requisitos. Considerar os trade-offs entre simplicidade e flexibilidade. Definir estratégias claras para lidar com o aumento da carga (escalabilidade). Implementar mecanismos de recuperação de falhas (resiliência). Atender ao requisito de não indisponibilidade do serviço de controle ...

energy, logistics, transportation and smart infrastructure. The Role You'll be the bridge between the physical and digital worlds - taking sensor data from cameras, LiDAR, drones and robots and turning it into Real Time operational intelligence. Working directly with customers and engineering teams, you'll lead everything from discovery workshops … workloads on edge platforms (NVIDIA Jetson) and integrating with enterprise cloud systems Developing robotic and autonomous systems using ROS/ROS2 Integrating cameras, LiDAR, PLCs, SCADA and industrial automation platforms Building edge-to-cloud architectures for scalable AI operations Leading customer workshops, translating business challenges into AI solutions What ...

technical advisor to prospects, expertly guiding them through security, architecture, and integration evaluations, particularly on complex data pipelines involving multimodal data, LiDAR, or robotics sensor data Translate complex technical architectures and findings into clear, persuasive value propositions for senior, non‐technical stakeholders (Directors, VPs, CTOs) Serve as the "voice … between technical and commercial stakeholders, both with prospects and internally within Encord Bonus: hands‐on experience working with multimodal AI, sensor‐fusion, physical AI, LiDAR data, or in the robotics industry Experience requirements 1 – 5+ years of experience in a customer‐facing role within an AI business, such as Solutions ...

Engineer to build the backbone of our 3D AI systems. You’ll design scalable pipelines for 3D, video, image, and other sensor data (e.g., LIDAR) and develop the ML workflows that power SuperSim. Your work will enable our researchers to train, validate, and deploy models faster - ultimately shaping how robots … testing pipelines. Experience with deep learning frameworks and ML workflows (PyTorch). Familiarity with 3D or robotics data formats (point clouds, meshes, radiance fields, LIDAR). Contributions to open-source ML/infra projects or publications in top-tier AI/ML/CV venues. Experience with frontend/ ...

part of our production stack Offline perception work using additional inputs not viable for on-road production, including extra sensors like lidar, future frames, maps, and extra compute, to improve data quality and coverage at scale Building the "data flywheel": using offline models and 3D tracking/reconstruction to auto … focused deep learning systems, with strong applied ML engineering rather than research-only work Experience with 3D perception concepts or pipelines, such as LiDAR, multi-view geometry, tracking, or 3D reconstruction Comfortable owning work end-to-end, including evaluation and large-scale dataset generation Enjoy pragmatic problem-solving under real ...