Your mission

  • Develop AI accelerators (FPGA & ASIC) for real-time machine learning on UAVs
  • Optimize low-latency, power-efficient AI chips for onboard object detection, sensor fusion, and navigation
  • Implement hardware-accelerated deep learning models (CNNs, RNNs, Transformers)
  • Design and integrate custom FPGA-based AI pipelines using Verilog, VHDL, or HLS
  • Work with embedded AI teams to improve onboard processing and autonomy
  • Ensure compliance with military and aerospace standards (MIL-STD, ITAR, DO-254)

Your profile

  • 5+ years experience in FPGA/ASIC design or AI acceleration
  • Proficiency in Verilog, VHDL, HLS, or RTL design for AI hardware
  • Experience with TensorFlow, PyTorch, ONNX, or TensorRT for ML model optimization
  • Hands-on with FPGA platforms (Xilinx, Intel/Altera, Lattice) and edge AI hardware
  • Strong knowledge of embedded systems, real-time processing, and sensor fusion
Nice to have
  • Experience with neuromorphic computing and event-driven AI
  • Background in secure AI hardware for defense and UAV applications

Why us?

Join us to shape the future of AI-driven defense!

Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.   
We look forward to receiving your detailed application via our online form.  

The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

Location

Munich (DEU), Remote, Bochum (DEU), Lviv (UKR), Munich Hybrid, Different Hubs all over Europe, Berlin, Bordeaux, Toulouse, Warschau, Paris

Remote Job

Job Overview
Job Posted:
4 days ago
Job Expires:
Job Type
Full Time

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