Field Robotics Engineer – Data Operations (all genders)

Meyandy LLC; München; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

STARK in Munich seeks a Field Robotics Engineer – Data Operations to own multi-sensor recording systems. You will bridge hardware and software, integrating EO/IR cameras, lidar, radar, and IMUs, and adapt drivers and ROS2 nodes for real-time data capture.

You will travel across Europe for field campaigns, calibrate rigs, ensure synchronized data, and produce documentation for repeatable setups. A strong background in robotics and vision is essential.

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 like I2C, SPI, CAN, Serial, or Ethernet-based sensor communication.
• Experience integrating cameras or sensors on embedded Linux platforms, ideally NVIDIA Jetson.
• Solid computer vision fundamentals: OpenCV, camera models, distortion, projection geometry.
• Understanding of coordinate frames, transformations, and time synchronization in distributed systems.

Aufgaben

• Own end-to-end integration of sensor suites (EO/IR cameras, gimbals, lidar, radar, IMU, GNSS).
• Design and implement sensor drivers and ROS2 nodes with hardware protocols.
• Solve temporal synchronization across distributed sensors (PTP, PPS, hardware triggering).
• Develop intrinsic and extrinsic calibration routines (camera-camera, camera-IMU).
• Build onboard recording stack on embedded compute (Jetson): GStreamer pipelines, logging, storage throughput.
• Join field data-collection campaigns across Europe and verify recordings.
• Produce integration documentation and calibration reports for reproducibility.

Kenntnisse

Python

C++

ROS2

OpenCV

GStreamer

Data synchronization

Embedded Linux

Ausbildung

Bachelor's or higher in Robotics/Mechatronics/EE/CS

Tools

NVIDIA Jetson

I2C/SPI/CAN

Ethernet/RTSP

Jobbeschreibung

About Us

STARK 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, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe — today.

About the team

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.

Your mission

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.

Responsibilities

• 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
• 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

Qualifications

• 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 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…

Field Robotics Engineer – Data Operations (all genders) — Stark, Munich.