Senior Environment Modeling Engineer – Experienced in autonomous driving (m/w/d)

TN Germany; München; Vor Ort; EUR 60.000 - 100.000; Vollzeit

Zusammenfassung

An innovative defense-tech startup is seeking a Senior Environment Modeling Engineer to develop cutting-edge simulation environments for autonomous systems. This role focuses on creating realistic models and integrating sensor behaviors within frameworks like CARLA and Gazebo. If you are passionate about building from scratch and have a strong background in C++ and physics-based simulation, this is your chance to join a rapidly expanding team dedicated to addressing emerging security challenges. You'll work in a hybrid environment that values collaboration and innovation, making a significant impact in the field of defense technology.

Qualifikationen

• Excellent knowledge of C++ and ideally Python required.
• Solid understanding of mathematical modeling and physics-based simulation.

Aufgaben

• Develop a fully custom simulation environment for autonomous systems.
• Model physically realistic environments and dynamic scenarios.

Kenntnisse

C++

Python

Mathematical modeling

Physics-based simulation

Autonomous driving

Robotics

Tools

CARLA

Gazebo

AirSim

ROS

ROS2

Jobbeschreibung

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Senior Environment Modeling Engineer – Experienced in autonomous driving (m/w/d), Munich

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Client:

autonomous-teaming

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

f2825e49fd4d

Job Views:

2

Posted:

28.04.2025

Expiry Date:

12.06.2025

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Job Description:

Your mission

• Develop a fully custom simulation environment for autonomous systems—without templates or copy-paste.
• Model physically realistic environments and dynamic scenarios, e.g., wind, terrain, traffic.
• Integrate sensor behaviors and system interactions into frameworks like CARLA or Gazebo.
• Work closely with hardware and software teams to prepare real tests digitally.
• Ensure the environment not only looks realistic but also behaves physically correctly.

Your profile

Must have:

• Excellent knowledge of C++ and ideally Python.
• Solid understanding of mathematical modeling and physics-based simulation.
• Experience with tools like CARLA, Gazebo, AirSim, or similar—plus the ability to add custom modules.
• Enjoy building things from scratch rather than relying on templates.
• Background in autonomous driving, UAVs, robotics, or related fields.

Nice to have:

• Experience with ROS / ROS2.
• Knowledge of sensors (camera, Lidar, Radar, acoustics).
• Experience in validation and testing of autonomous systems.

Meta:

• Intrinsic motivation and willingness to go the extra mile, with attention to detail.
• Creativity, conceptual and systematic design thinking, and disciplined execution.
• Servant leadership, prioritizing team success over ego.
• Highest moral standards and work ethic.
• Value extracurricular responsibilities and achievements in your CV.
• Fluent in English or German.
• Nationality of a NATO member or close ally is required.
• Successful applicants must obtain security clearance.

Why us?

If you feel you fit the description but don't meet all criteria 100%, apply anyway.
We look forward to your detailed application via our online form.

The world is changing. Exponential technologies are creating new security threats. We are committed to staying ahead by building agile, scalable, and cost-effective defenses. We seek passionate developers eager to create exceptional products, safeguard freedoms, and strengthen democracies.

About us

We are a defense-tech startup specializing in machine vision solutions. If you are passionate about cutting-edge innovation and driven to create next-generation solutions, this is your opportunity!

What we do: We develop solutions enabling computers and sensors to collaborate as teams to address emerging security challenges. Our primary mission is to defend against AI-powered asymmetric threats like drone swarms and other UXVs.

Who we are: Based in Munich, Berlin, and Toulouse, we are expanding rapidly across Europe with plans to open more hubs. We embrace a hybrid work culture—valuing in-office collaboration while empowering remote work with responsibility and autonomy.