1 день назад
Senior Software Engineer (Aerial Swarming)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Aerial Swarming): Building real-time cooperative autonomy and decentralized communication systems for multi-UAV platforms with an accent on modern C++, ROS2, DDS, and embedded NVIDIA Jetson systems. Focus on implementing swarming algorithms, validating functionality through SITL/HITL testing, and optimizing reliable multi-vehicle operation in resource-constrained environments.
Location: Munich or Berlin, Germany
Company
designs and manufactures software-defined, scalable unmanned systems for defence and autonomous operations.
What you will do
- Develop and integrate real-time cooperative control, decentralized routing, and perception algorithms on embedded platforms such as NVIDIA Jetson.
- Architect and optimize multi-agent communication networks using ROS2 and DDS for reliable data distribution.
- Implement and maintain Software-in-the-Loop and Hardware-in-the-Loop testing environments for swarming features.
- Collaborate with AI, controls, and hardware teams to integrate swarming behaviors with onboard subsystems.
- Profile and debug performance under compute, thermal, and bandwidth constraints during field deployments.
- Contribute to system-level architecture and clean, modular C++ implementation.
Requirements
- Bachelor’s or Master’s degree in Engineering, Computer Science, Aerospace, or a related technical field.
- 5+ years of professional software engineering experience in robotics, aerospace, or autonomous systems.
- Expert-level modern C++ proficiency for low-latency, multithreaded embedded and robotics development.
- Hands-on ROS2 and DDS knowledge, including real-time communication architectures.
- Experience with embedded Linux, NVIDIA Jetson devices, and hardware interfaces.
- Strong problem-solving, debugging, communication, and multidisciplinary collaboration skills; willingness to travel occasionally for field testing and deployment.
Nice to have
- Experience deploying flocking, consensus, or decentralized task-allocation algorithms on physical multi-vehicle systems.
Culture & Benefits
- Full-time permanent employment.
- Hands-on work involving real software, field deployment, and resource-constrained systems.
- Occasional travel for field testing and deployment.
- Multidisciplinary collaboration across AI, controls, hardware, and software engineering.
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