Robotics Middleware Engineer – UAV Systems

il y a 1 jour


Toulouse, France Autonomous Teaming Temps plein

Robotics Middleware Engineer – UAV Systems (H/F)Autonomous TeamingYour MissionDesign, build, and harden the ROS 2 middleware layer: message schemas, QoS profiles, routing, callback prioritization, dedicated executors by criticality.Make data move reliably from sensors → fusion/perception → planning/actuation: time sync (PTP/NTP), timestamps, clean frames/TF, rosbag replay for debugging.Realize a modular and extensible sensor I/O & fusion framework: drivers/bridges, message conversions, composable pipelines.Integrate hardware components on Jetson/ARM: bring‑up GNSS/IMU/cameras/LiDAR/radar, tune I/O buses (CSI/USB/Ethernet), manage power/thermals.Liaise with computer‑vision and acoustics experts: expose stable interfaces, define latency budgets, and service contracts (topics, rates, QoS).Evaluate and select middleware options (DDS, transports, codecs, HW acceleration) under latency and reliability constraints.Keep track of the ROS 2/middleware ecosystem & best practices (executors, tracing, security, observability) and drive continuous improvements.Ensure consistently high quality of the overall detection & tracking pipeline: via end‑to‑end integration tests, embedded CI/CD, metrics, and alerting.Key PointsC++ (memory management, multithreading, error/exception handling)ROS 2 (middlewares CycloneDDS, Fast DDS, Connext; QoS, callbacks, executors)Knowledge of other robotics frameworks (ROS 1, DDS native, GStreamer, LCM, ZeroMQ)NVIDIA Jetson (CPU/GPU memory management, HW accelerators CUDA/TensorRT/VPI, sensor interfaces CSI/MIPI, USB3, Ethernet, CAN, SPI)What you’ll work withROS 2 (rclcpp, lifecycle, rosbag2, tracing), DDS (QoS profiles), C++17/20Jetson Orin/Xavier, CUDA/TensorRT, V4L2/GStreamerEmbedded Linux, colcon, Docker/Podman, Git (PRs/reviews), CI/CDNice to haveRT‑preempt, cgroups/CPU pinning, DDS Security, GMSL/MIPI bring‑up, CAN/UDP custom protocolsExposure to PX4/ArduPilot/MAVLink for autopilot interfacing (optional)Your ProfileUniversity degree in Computer Science, Informatics, Math, Physics, etc.Relevant experience with C++ (e.g., EIgen, Ceres, GTSAM); Rust is a bonus; ROS (2), OpenCV are great to have.Intrinsic motivation, willingness to go the extra mile, attention to detail.Outside‑of‑the‑box creativity, conceptual & systematic design thinking.Fluent in English or German.Nationality of a NATO member nation or close ally is a must.Successful candidates will be required to obtain security clearance.Why us?Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.We look forward to receiving your detailed application via our online form.The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost‑effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.About UsWe are a defence‑tech start‑up specializing in machine vision solutions. If you have a passion for cutting‑edge innovation, and drive to use your skills to create next generation solutions, this is an opportunity for youWhat we do: We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges. Our primary mission is to defend against AI‑powered asymmetric threats at scale, such as drone swarms and other UXVs.Who we are: Based in Munich, Berlin and Bordeaux/Toulouse we are rapidly expanding across Europe with plans to open more office hubs soon. We embrace a hybrid work culture - valuing the collaborations that happens in the office, while also empowering our team members to work remotely with responsibility and autonomy.Seniority LevelEntry levelEmployment TypeFull‑timeJob FunctionInformation TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Autonomous Teaming by 2x. #J-18808-Ljbffr



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