(Senior) Robotics Software Engineer (All genders)

STARK; Berlin; Presencial; EUR 90.000 - 120.000; Jornada completa

Descripción de la vacante

Stark is assembling a team in Berlin to advance autonomous perception for UAV platforms. You will engineer real-time perception pipelines on embedded compute and migrate legacy systems to ROS2, enabling modular, scalable sensor and camera integrations.

As an embedded robotics specialist, you will collaborate with AI, controls, and hardware teams to ensure robust operation in resource-constrained environments and field deployments in demanding security contexts.

Formación

• Bachelor's/Master's in engineering or a related technical field.
• Hands-on ROS2 deployment and perception modules.
• Proficient in Python and C++ for embedded robotics.
• Experience with embedded Linux on Jetson devices.

Responsabilidades

• Develop and integrate real-time perception pipelines on embedded platforms.
• Migrate legacy systems to ROS2 with modular components.
• Enable image data access across native and containerized components (Docker).
• Design low-level camera and sensor drivers for real-time vision.
• Collaborate with AI, controls, and hardware teams for tight integration.
• Profile and debug performance under embedded constraints.
• Contribute to system-level architecture discussions.

Conocimientos

ROS2 deployments

Python

C++

Embedded systems

Jetson devices

Docker

Educación

Bachelor's or Master's in Engineering

Herramientas

Docker

NVIDIA Jetson

Descripción del empleo

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 with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.

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.

WHY JOIN US

• The software and systems you work on directly protect personnel and defend European and national sovereignty.
• You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms.
• We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing.

About the Team

Minerva is STARK's command and control software — the brain that connects operators to autonomous systems across multiple domains in real time. The Minerva team is a small, senior software group based in Berlin and Munich, working directly with our systems and hardware teams to build mission-critical C2 capabilities deployed in active operational environments.
We move fast, ship real software, and operate under constraints most engineers never encounter - low-bandwidth networks, air-gapped devices, high-stakes decision loops. There is no room for abstraction for its own sake. Everything we build ends up in the hands of real operators in the field.

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.

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.

Required Skills

• 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.

SECURITY CLEARANCE

Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.

EQUAL OPPORTUNITY

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, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.