Field Robotics Engineer – Data Operations (all genders)

United States Digital Space LLC; München; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

STARK seeks an experienced sensor integration engineer to bridge hardware and software for multi-sensor recording systems. You will integrate EO/IR cameras, lidar, radar, and IMUs, develop ROS2 drivers, and calibrate rigs for spatial-temporal fusion.

You will join Europe-wide data-collection campaigns, optimizing recording pipelines on NVIDIA Jetson, and documenting integration results. The role requires hands-on hardware work, strong C++/Python skills, and a willingness to travel for field

Qualifikationen

• 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, including deployment on physical systems.
• Hands-on experience with hardware protocols such as I2C, SPI, CAN, Serial, or Ethernet-based sensor communication.
• Experience integrating cameras or other sensors on embedded Linux platforms, ideally NVIDIA Jetson.
• Solid computer vision fundamentals: camera models, distortion, projection geometry, OpenCV.
• Good understanding of coordinate frames, transformations, and time synchronization in distributed systems.
• Comfortable with hardware diagnostic tools (multimeter, oscilloscope) and modern software workflows (Git, CI, Docker).
• Willingness to travel regularly for field campaigns and to work outdoors in various conditions.

Aufgaben

• Own the end-to-end integration of sensor suites — EO/IR cameras, gimbals, lidar, radar, IMU, GNSS — from electrical interfaces and wiring to working recording pipelines.
• Design and implement sensor drivers and ROS2 nodes, working with hardware protocols including I2C, SPI, CAN, Serial, MIPI/CSI-2, GigE Vision, and Ethernet.
• Solve temporal synchronization across distributed sensors so all streams are aligned for fusion and labeling.
• Develop and execute calibration routines (camera-camera, camera-IMU) to spatially unify the sensor rigs.
• Build and optimize the onboard recording stack on embedded compute (NVIDIA Jetson): GStreamer pipelines, logging, and storage throughput.
• Evaluate new sensors hands-on and turn results into integration decisions.
• Join field data-collection campaigns across Europe: set up, operate on-site, diagnose issues, validate recordings.
• Produce integration documentation and calibration reports for reproducibility.

Kenntnisse

Python

C++

ROS2

GStreamer

Jetson

OpenCV

Camera Calibration

Ausbildung

Robotics/Mechatronics/Electrical Engineering/CS degree or equivalent

Tools

I2C

SPI

CAN

Serial

Ethernet

Jobbeschreibung

About UsSTARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned systems that are software-defined, mass-scalable, and cost-effective. This provides our operators with a decisive edge in highly contested environments.

We're focused on delivering deployable, high-performance systems — not future promises. In a time of rising threats, the company is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe — today.

About the teamThe Data Operations team owns the entire data lifecycle behind the company'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 the company's platforms — a real data advantage is built, not bought. The team is scaling up right now: real scope, direct impact, no legacy.

Your missionYou 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.

ResponsibilitiesOwn 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

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)

Solve temporal synchronization across distributed sensors (PTP, PPS, hardware triggering) so all streams are perfectly aligned for fusion and labeling

Develop and execute rigorous intrinsic and extrinsic calibration routines (camera-camera, camera-IMU) to spatially unify the sensor rigs

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

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

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

Produce integration documentation and calibration reports so every setup is reproducible by the team

QualificationsDegree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or comparable practical experience

Proficiency in Python and C++ for robotics and hardware interfacing

Experience with ROS2, including deployment on physical systems

Hands-on experience with several hardware protocols such as I2C, SPI, CAN, Serial, or Ethernet-based sensor communication

Experience integrating cameras or other sensors on embedded Linux platforms, ideally NVIDIA Jetson

Solid computer vision fundamentals: camera models, distortion, projection geometry, OpenCV

Good understanding of coordinate frames, transformations, and time synchronization in distributed systems — practical calibration experience is a strong plus

Comfortable with hardware diagnostic tools (multimeter, oscilloscope) as well as modern software workflows (Git, CI, Docker)

Practical and structured; willingness to travel regularly for field campaigns and to work outdoors in various conditions

Nice to haveUAV or mobile robot experience; PX4/ArduPilot and MAVLink basics

Photogrammetry + 3D Reconstruction

Low-level driver development or customization on embedded Linux

GStreamer hardware-accelerated pipelines, JetPack/L4T, CUDA/TensorRT

MIPI/CSI-2 camera bring-up, ISP tuning, or Linux kernel/device tree exposure

Calibration tooling such as Kalibr; lidar and point cloud processing (PCL, Open3D)

Experience with detection/tracking models and modern CV pipelines (PyTorch, ONNX)

Experience with simulation (Gazebo, Isaac Sim) or synthetic data generation

We hire this role across experience levels: whether you bring a few years of hands-on robotics work or a decade of sensor integration, we will match scope and seniority to your profile.

A note on our process: we value critical thinking, grit, and the ability to learn over a perfect checklist. If you are a talented engineer who loves building complex systems at the boundary of hardware and code, but you don't hit every single bullet point, we still want to hear from you.