Neuromorphic Computing Engineer – Ultra-Low-Power Real-Time ML for Sensors (m/w/d) all levels

Your mission

• Research and develop neuromorphic computing architectures for ultra-low-power, real-time ML processing on UAV and sensor systems
• Design and optimize spiking neural networks (SNNs) for edge AI inference on neuromorphic chips (Loihi, BrainChip Akida, SpiNNaker)
• Implement event-driven processing to enhance energy efficiency in autonomous UAV perception and decision-making
• Develop bio-inspired AI models to improve UAV swarm intelligence, real-time object recognition, and anomaly detection
• Collaborate with sensor fusion, embedded AI, and robotics teams to integrate neuromorphic computing into UAV defense applications
• Ensure resilience to adversarial AI attacks and develop robust ML architectures for contested environments
• Work with AI hardware accelerators (FPGA, ASIC, Edge TPU) for real-time ML execution

Your profile

• 5+ years experience in neuromorphic computing, edge AI, or ultra-low-power ML systems
• Strong expertise in spiking neural networks (SNNs), temporal coding, and bio-inspired AI architectures
• Proficiency in Python, C++, or Rust for neuromorphic model development and optimization
• Experience with neuromorphic hardware platforms (Intel Loihi, BrainChip, IBM TrueNorth, SpiNNaker)
• Deep understanding of event-based processing, low-power computing, and real-time AI inference
• Familiarity with AI security, adversarial robustness, and ML resilience in electronic warfare environments

• Experience with hybrid classical-neuromorphic AI models for UAV autonomy
• Background in biologically inspired robotics and adaptive learning systems
• Knowledge of quantum-classical AI integration for next-gen UAV intelligence