Autonomous Teaming

SLAM Engineer – Real-Time Mapping & UAV Navigation (m/w/d) all levels

Autonomous Teaming WorkFromHome

Stellenbeschreibung:

SLAM Engineer – Real-Time Mapping & UAV Navigation (m/w/d) all levels

Join us to apply for the SLAM Engineer – Real-Time Mapping & UAV Navigation (m/w/d) all levels role at Autonomous Teaming .

About the role

Develop and optimize SLAM algorithms for real-time UAV mapping and autonomous navigation. Implement sensor fusion techniques combining Lidar, Radar, EO/IR, IMU, and GPS data. Enhance localization accuracy in GPS-denied environments using vision-based SLAM (ORB-SLAM, VINS-Mono). Design and deploy probabilistic mapping techniques (e.g., Kalman Filters, Particle Filters, Graph-SLAM). Improve loop closure detection and drift correction for long-term UAV autonomy. Optimize SLAM models for low-latency execution on embedded and edge AI platforms. Integrate SLAM into swarm coordination frameworks for multi-UAV mapping.

Candidate profile

  • 3+ years experience in SLAM, sensor fusion, and real-time navigation
  • Strong expertise in computer vision-based SLAM (ORB-SLAM, VINS, DSO, LSD-SLAM)
  • Proficiency in C++, Python, or Rust for high-performance robotics applications
  • Experience with ROS2, DDS, and real-time UAV navigation frameworks
  • Knowledge of probabilistic filtering techniques (EKF, UKF, Particle Filters)
  • Familiarity with embedded and edge AI hardware (Jetson, FPGA, Edge TPU)

Nice to have

  • Experience in multi-agent SLAM for UAV swarm mapping
  • Background in deep learning-based visual odometry and SLAM
  • Knowledge of adversarial environments and SLAM resilience against sensor spoofing

Our values

  • Creativity, systematic design thinking, disciplined execution
  • Servant leader mindset, team success over ego
  • High moral standards and work ethic
  • Extra-curricular achievements valued
  • Intrinsic motivation, attention to detail
  • Fluent in English
  • NATO or close ally nationality required
  • Security clearance required for successful candidates

Why join us?

Shape the future of AI-driven defense! If you feel aligned with the role but don't meet all criteria, apply anyway. We look forward to your application via our online form.

About us

We are a defence-tech startup specializing in machine vision solutions, committed to creating next-generation security solutions to counter emerging threats like drone swarms. Based in Munich, Berlin, and Toulouse, we embrace a hybrid work culture, combining in-office collaboration with remote work.

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    29 Nov 2025
  • Standort:

    WorkFromHome

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