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Field Robotics Engineer – Data Operations (All Genders)

Skdse · Munich, Bavaria

<div class="content-intro"><p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners &nbsp;with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.</span></p> <p><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions.</span><br><br></p> <p><span style="font-size: 12pt;"><strong><span style="font-family: helvetica, arial, sans-serif;">WHY JOIN US</span></strong></span></p> <ul> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">The software and systems you work on directly protect personnel and defend European and national sovereignty.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms.</span></li> <li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&amp;D backing.</span></li> </ul></div><p><span style="text-decoration: underline; font-size: 10pt;"><strong>About the Team</strong></span></p> <p><em>The Data Operations team owns the entire data lifecycle behind STARK's AI stack: collection, acquisition, generation, curation, and management. We run our own data-collection campaigns across Europe, evaluate new sensors and platforms, and build the internal data platform that turns raw recordings into ready-to-use datasets. Everything we produce feeds directly into the perception and autonomy systems deployed on STARK's platforms — a real data advantage is built, not bought. The team is scaling up right now: real scope, direct impact, no legacy.</em></p> <p><span style="text-decoration: underline; font-size: 10pt;"><strong>Your Mission</strong></span></p> <p><em>You are the technical owner of our multi-sensor recording systems — the bridge between raw hardware and the datasets our ML teams train on. You work at the critical intersection of hardware and software: integrating EO/IR cameras, lidar, radar, and IMUs over their real interfaces, adapting the drivers and ROS2 nodes that capture them, solving time synchronization down to the microsecond, and calibrating multi-sensor rigs so every stream is spatially and temporally unified. And you don't just build in the lab: you regularly join our data-collection campaigns across Europe, deploying your systems under real conditions and making sure the data we bring home is worth training on.</em></p> <p><span style="text-decoration: underline; font-size: 10pt;"><strong>Responsibilities</strong></span></p> <p>&nbsp;</p> <ul> <li> <p><em>Own the end-to-end integration of our sensor suites — EO/IR cameras, gimbals, lidar, radar, IMU, GNSS — from electrical interfaces and wiring to working recording pipelines</em></p> </li> <li style="font-style: italic;"> <p><em>Design and implement sensor drivers and ROS2 nodes, working directly with hardware protocols including I2C, SPI, CAN, Serial, MIPI/CSI-2, GigE Vision, and Ethernet (RTSP/UDP)</em></p> </li> <li style="font-style: italic;"> <p><em>Solve temporal synchronization across distributed sensors (PTP, PPS, hardware triggering) so all streams are perfectly aligned for fusion and labeling</em></p> </li> <li style="font-style: italic;"> <p><em>Develop and execute rigorous intrinsic and extrinsic calibration routines (camera-camera, camera-IMU) to spatially unify the sensor rigs</em></p> </li> <li style="font-style: italic;"> <p><em>Build and optimize the onboard recording stack on embedded compute (NVIDIA Jetson): hardware-accelerated video pipelines (GStreamer), efficient logging (MCAP/rosbag), and storage throughput under compute, thermal, and bandwidth constraints</em></p> </li> <li style="font-style: italic;"> <p><em>Evaluate new sensors hands-on at the bench — from probing electrical interfaces with diagnostic tools to benchmarking SDKs — and turn results into clear integration decisions</em></p> </li> <li style="font-style: italic;"> <p><em>Join field data-collection campaigns across Europe: prepare and verify sensor setups, operate the recording systems on-site, diagnose hardware and software issues in real time, and validate recordings before leaving the site</em></p> </li> <li style="font-style: italic;"> <p><em>Produce integration docu

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