Senior Edge AI & Robotics Engineer (f-m-d)

Overview

Senior Edge AI & Robotics Engineer focused on hands-on deployment, optimization, and scaling of AI workloads on embedded and edge computing platforms.

What you'll do

• Design, develop, and deploy AI/ML solutions on embedded and edge computing platforms.
• Optimize inference performance across CPU, GPU, NPU, DSP, FPGA, and heterogeneous SoC architectures.
• Build scalable edge AI software pipelines for computer vision, sensor fusion, multimodal AI, and real-time decisions.
• Deploy and optimize models using inference frameworks such as TensorRT, ONNX Runtime, OpenVINO, TFLite, or TVM.
• Drive model optimization using quantization, pruning, compression, distillation, and hardware acceleration.
• Develop reusable software frameworks and deployment workflows across product lines and hardware platforms.
• Develop high-performance C/C++ software for embedded and edge AI applications and optimize system performance and resource usage.

What you'll need

• 5+ years of experience developing and deploying AI/ML workloads on embedded or edge computing platforms.
• Master's degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Computer Engineering, or a related discipline.
• Experience with NVIDIA Jetson, Qualcomm, TI, NXP, Renesas, AMD, Intel, or similar embedded AI platforms.
• Expert proficiency in C/C++ and Python.
• Hands-on experience deploying and optimizing AI models on resource-constrained systems.
• Deep understanding of AI inference frameworks, model optimization techniques, and heterogeneous compute architectures.
• Experience with Linux-based embedded systems and cross-compilation workflows.

Details

• Location: Wuppertal, Germany.