(Senior) Robotics Software Engineer (all genders)

STARK

Berlin

Vor Ort

EUR 70.000 - 95.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

STARK is seeking a Robotics Engineer in Berlin or Munich to develop real-time perception on embedded platforms and migrate legacy systems to ROS2. You will work with camera data pipelines, ROS2 nodes, and containerized modules to ensure reliable, scalable perception for UAV platforms.

You will collaborate with AI, controls and hardware teams, optimize performance under resource constraints, and travel occasionally for field testing and deployment. Strong ROS2, Python and C++ skills are essential.

Qualifikationen

  • Bachelor’s or Master’s degree in Engineering or a related technical field.
  • Strong experience with ROS2, including real-world deployment and integration of perception modules.
  • Proficient in Python and C++ for embedded and robotics development.
  • Solid background in robotics, autonomous systems, embedded development, or aerospace applications.
  • Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices.
  • Experience integrating containerized processes (e.g., Docker) into onboard robotic systems.
  • Ability to navigate and coordinate between different frameworks (ROS2, legacy/custom codebases, third-party modules).
  • Strong problem-solving and debugging skills, especially in real-time or resource-constrained environments.
  • Effective communicator and team player in multidisciplinary engineering teams.
  • Self-driven, organized, and adaptable to fast-paced development cycles.
  • Willingness to travel occasionally for field testing and deployment.

Aufgaben

  • Develop and integrate real-time perception pipelines on embedded platforms such as the Jetson Nano NX.
  • Migrate legacy monolithic systems to ROS2, refactoring and modularizing components for better scalability and maintainability.
  • Enable and optimize image data access across native and containerized components (e.g., Dockerized ROS2 processes).
  • Design and implement low-level camera and sensor drivers for real-time vision acquisition.
  • Collaborate with AI, controls, and hardware teams to ensure tight integration between perception and other onboard subsystems.
  • Profile and debug system performance under embedded constraints (compute, thermal, bandwidth), ensuring stability and robustness in field deployments.
  • Contribute to system-level architecture discussions with a focus on communication reliability and modularity.

Kenntnisse

ROS2
Python
C++
Embedded systems
Real-time perception
Debugging

Ausbildung

Bachelor's or Master’s degree in Engineering

Tools

Docker
NVIDIA Jetson
Embedded Linux

Jobbeschreibung

STARK is a defense technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high-performance unmanned vehicles that are software-defined, mass-scalable, and cost-effective – giving NATO and its allies a decisive edge in the most 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.

Your mission:

As a Robotics Engineer with a focus on embedded perception systems, you will play a critical role in enabling real-time autonomy onboard next-generation UAV platforms. You will work directly with camera data pipelines, ROS2-based systems, and embedded compute platforms to build robust, efficient, and scalable perception functionality.

You will contribute as a highly skilled individual contributor - hands-on with the system - bridging diverse codebases and enabling data flows across native ROS2 nodes, legacy frameworks, and containerized third-party modules. Your work will be essential to ensuring that our autonomous systems operate reliably in real-world, resource-constrained environments.

This position is located in Berlin or Munich.

Responsibilities:

  • Develop and integrate real-time perception pipelines on embedded platforms such as the Jetson Nano NX.
  • Migrate legacy monolithic systems to ROS2, refactoring and modularizing components for better scalability and maintainability.
  • Enable and optimize image data access across native and containerized components (e.g., Dockerized ROS2 processes).
  • Design and implement low-level camera and sensor drivers for real-time vision acquisition.
  • Collaborate with AI, controls, and hardware teams to ensure tight integration between perception and other onboard subsystems.
  • Profile and debug system performance under embedded constraints (compute, thermal, bandwidth), ensuring stability and robustness in field deployments.
  • Contribute to system-level architecture discussions with a focus on communication reliability and modularity.

Qualifications:

  • Bachelor’s or Master’s degree in Engineering or a related technical field.
  • Strong experience with ROS2, including real-world deployment and integration of perception modules.
  • Proficient in Python and C++ for embedded and robotics development.
  • Solid background in robotics, autonomous systems, embedded development, or aerospace applications.
  • Familiarity with embedded Linux platforms, particularly NVIDIA Jetson devices.
  • Experience integrating containerized processes (e.g., Docker) into onboard robotic systems.
  • Ability to navigate and coordinate between different frameworks (ROS2, legacy/custom codebases, third-party modules).
  • Strong problem-solving and debugging skills, especially in real-time or resource-constrained environments.
  • Effective communicator and team player in multidisciplinary engineering teams.
  • Self-driven, organized, and adaptable to fast-paced development cycles.
  • Willingness to travel occasionally for field testing and deployment.

For further information please reach out to talent@stark-defence.com.

About us:

We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or any other characteristic protected by law. Due to the nature of our work in the defense sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for the position.

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