Качественная возможность в трендовом домене с очень четким описанием задач и современным стеком, хотя частые поездки и работа в «полях» — это специфическое требование к образу жизни.
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Полевые выездыЗарплата не указанаСовременный стекТрендовый доменЧеткий круг задач
Оценка от Hirify AI
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sensor Integration Engineer (Robotics): Building multi-sensor recording systems for autonomous defence platforms with an accent on hardware integration, ROS2, calibration, and high-performance embedded data pipelines. Focus on synchronizing and unifying camera, lidar, radar, and IMU streams, optimizing NVIDIA Jetson recording systems, and deploying them during field data-collection campaigns across Europe.
Location: Munich, Germany. Regular travel across Europe and outdoor field campaigns are required.
Company
hirify.global is a defence technology company developing software-defined, scalable unmanned systems for NATO Allies and their partners.
What you will do
Own end-to-end integration of EO/IR cameras, gimbals, lidar, radar, IMU, and GNSS sensor suites.
Develop sensor drivers and ROS2 nodes using hardware interfaces and communication protocols such as I2C, SPI, CAN, Serial, MIPI/CSI-2, GigE Vision, and Ethernet.
Implement temporal synchronization and intrinsic and extrinsic calibration for multi-sensor fusion.
Build and optimize embedded recording pipelines on NVIDIA Jetson using GStreamer, MCAP, and rosbag.
Evaluate sensors hands-on, diagnose hardware and software issues, and make integration decisions.
Deploy and operate recording systems during European field campaigns and produce reproducible documentation and calibration reports.
Requirements
Degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or comparable practical experience.
Proficiency in Python and C++ for robotics and hardware interfacing.
Experience with ROS2 on physical systems and hands-on sensor integration on embedded Linux platforms.
Experience with hardware protocols and diagnostic tools such as multimeters and oscilloscopes.
Strong computer vision fundamentals, including camera models, distortion, projection geometry, OpenCV, coordinate frames, transformations, and time synchronization.
Willingness to travel regularly for field campaigns and work outdoors in varied conditions.
Nice to have
UAV or mobile robot experience, including PX4, ArduPilot, or MAVLink.
GStreamer, JetPack/L4T, CUDA/TensorRT, MIPI/CSI-2, ISP tuning, or Linux kernel and device-tree experience.
Photogrammetry, 3D reconstruction, lidar and point-cloud processing, or calibration tools such as Kalibr.
Experience with computer vision models, simulation, or synthetic data generation.
Culture & Benefits
Work on deployable autonomous systems with direct impact on European defence technology.
Join a scaling Data Operations team with ownership across the full data lifecycle.
Scope and seniority are matched to the candidate's experience, from several years of robotics work to a decade of sensor integration.
Critical thinking, grit, practical problem-solving, and continuous learning are valued over an exact checklist match.
Regular field deployments provide hands-on work with real systems and operating conditions.