Sr. Autonomy & Simulation Engineer - UAV

Location: Berlin, Germany (On-site role, relocation support available)

Compensation: Equity/virtual shares are available in addition to salary.

Confidential role with fast-paced hiring timeline. Interviews typically concluded within 2–3 weeks.

About the Opportunity

An innovative early-stage aerospace and AI company is seeking a Senior Engineer to lead the development of real-time simulation and autonomy systems for their next-generation UAV platform. This Berlin-based stealth team is redefining autonomous flight with AI-driven, high-speed aircraft that operate in GNSS-denied and contested environments. If you're a hands-on technical leader with a background in simulation, reinforcement learning, and real-time deployment, this is your opportunity to help shape a system from the ground up - where speed, precision, and autonomy are mission-critical.

Join a team pushing the boundaries of machine learning, flight control, and vision-based navigation at over 400 km/h. This is more than a research position - it's an engineering-first, field-deployed role for those who want to build what others haven’t dared.

Key Responsibilities

• Design, build, and optimize high-fidelity simulation environments for training RL agents in high-speed flight using platforms like Unreal Engine 5, NVIDIA Isaac Sim, AirSim, or Flightmare.
• Develop sim-to-real pipelines and hardware-in-the-loop (HITL) test environments that ensure autonomous flight policies perform reliably in real-world deployments.
• Integrate synthetic datasets using domain randomization techniques with RGB, IR, and neuromorphic/event-based vision.
• Support the reinforcement learning pipeline with training infrastructure, data collection tools, and embedded deployment workflows.
• Bridge simulation outputs with real-time control software stacks including PX4 and Jetson Orin NX-based hardware.
• Tune sensor fusion and state estimation modules to work with IMUs, radar, optical flow, and non-traditional vision sensors.
• Collaborate directly with company founders, control engineers, and perception specialists to ensure autonomy stack robustness from concept to field test.

Ideal Background

• 5+ years of experience in robotics, UAVs, or real-time autonomy systems, with a strong record of sim-to-real deployment.
• Expertise in Python and C++, especially for embedded and GPU-constrained environments.
• Deep familiarity with Unreal, Isaac, or similar simulation environments tailored to robotics applications.
• Hands-on experience with reinforcement learning pipelines (e.g., PyTorch RL, RLlib) and training infrastructure.
• Proven history of building or contributing to autonomous navigation stacks in aerospace, robotics, or defense contexts.
• Experience with PX4, ArduPilot, or comparable autopilot frameworks.
• Strong understanding of synthetic data generation, real-time sensor fusion, and flight dynamics under extreme conditions.
• Bonus: Background with event-based sensors (e.g., Prophesee), high-speed state estimation (VIO, SLAM), or magnetic field mapping.

Why You Should Apply

• Shape the autonomy stack of a breakthrough UAV system, from simulation to live flight.
• Collaborate directly with visionary founders on a stealth technology mission with real-world impact.
• Work in a state-of-the-art lab environment with access to bleeding-edge compute and sensing hardware.
• Be one of the first technical hires and influence the product architecture, tooling, and company culture.
• Join a team with deep interdisciplinary talent from elite institutions and defense-oriented startups.

If you’re a builder with real-world UAV or robotics autonomy experience and want to work at the intersection of simulation, machine learning, and aerospace innovation - this is your launchpad. Apply today to learn more.

About Blue Signal:  

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