Group Lead Edge AI (human)

The role

You will lead a team to turn cutting-edge models into production-grade, on-device intelligence. You will set technical direction, manage hardware and architecture decisions, and drive on-device AI from research to shipped product.

What you will do

• Drive on-device AI from research to shipped product.
• Hire, mentor, and grow a team of edge AI engineers.
• Deploy models using quantization, pruning, and distillation on embedded accelerator platforms.
• Own the toolchain including model export and inference optimization frameworks.
• Partner with Hardware, Software, and Product teams.
• Own benchmarking, on-device evaluation, and performance regression testing.
• Debug accuracy drops, latency spikes, and other technical issues.

Required qualifications

• Master's or PhD in Computer Science, Electrical Engineering, Embedded Systems, or a related field.
• 7+ years in ML or embedded AI engineering.
• 2+ years leading technically.
• Real production deployment on embedded accelerators.
• Hands-on experience with embedded AI hardware platforms (e.g. NVIDIA Jetson, Qualcomm IQ-series, or comparable).
• Deep expertise in model optimization including quantization, pruning, distillation, and architecture search.
• Fluency with common model optimization and deployment toolchains (e.g. ONNX, TensorRT, AIMET, or equivalent vendor SDKs).
• Strong Python and C++ experience.
• PyTorch experience.
• Comfort with embedded Linux and low-level profiling.
• Professional English required.

Nice to have

• German (B2 to C1)

About the company

neura-robotics-gmbh