{"id":81767,"title":"Edge AI Engineer (human)","company":"Neura Robotics","city":null,"region":"Baden-Württemberg","location":"Metzingen / Riederich, Riederich, Baden-Wurttemberg, Germany","work_model":"onsite","employment_type":"full_time","employment":["full_time"],"roles":["data_science"],"visa":"not_mentioned","relocation":"not_mentioned","posted_at":"2026-10-05T18:19:37.623000+00:00","tools":["Embedded Systems","ONNX","Python","C++","PyTorch","Linux"],"seniority":"mid","years_experience_min":3,"german_requirement":"preferred","german_level":"B2","english_requirement":"required","english_level":"unspecified","team_language":"unknown","confidence":0.9,"method":"rules","language_badge":"German a plus","language_evidence":"ak fluently to researchers, hardware engineers, and product alike. Professional English required; German is a strong plus (B2 to C1).","requirements_snippet":null,"url":"https://jobs.ashbyhq.com/neura-robotics-gmbh/b929e5f7-63c4-4b23-be24-7fb860735d0b","source":"ashby","agency":null,"description_text":"Your mission & challenges\nAs Edge AI Engineer, you turn cutting-edge models into production-grade, on-device intelligence for our robots. You work hands-on at the intersection of machine learning, embedded systems, and robotics. Your focus is making models fast, lean, and reliable on the hardware we ship.\n• Deploy at the edge: Take models from trained to deployed using quantization, pruning, distillation, and every trick it takes to make them fast and lean on embedded accelerator platforms (e.g. NVIDIA Jetson, Qualcomm IQ-series).\n• Own the toolchain: Work across model export and inference optimization frameworks (e.g. ONNX, TensorRT, AIMET) and the SDKs that turn a model into a working robot behavior.\n• Optimize to the metal: Profile, analyze, and tune models and runtimes to meet the latency, power, and memory budgets of each hardware target.\n• Partner across functions: Work closely with Research, Hardware, Software, and Product to bring on-device AI from research to shipped product.\n• Set the bar for quality: Build and maintain benchmarking, on-device evaluation, and performance regression testing across every hardware target we ship.\n• Solve the hard problems: Debug an accuracy drop after quantization, chase down a latency spike, and tackle the problems that only show up on the real chip.\n\nWhat we can look forward to\n• Strong academic foundation: A Master's or PhD in Computer Science, Electrical Engineering, Embedded Systems, or a related field.\n• Proven experience: 3+ years in ML or embedded AI engineering, with real production deployment on embedded accelerators, not just papers.\n• Hardware fluency: Hands-on experience with embedded AI hardware platforms (e.g. NVIDIA Jetson, Qualcomm IQ-series, or comparable).\n• Optimization expertise: Solid knowledge of model optimization from the model side to the metal: quantization, pruning, distillation, and architecture search.\n• Toolchain expertise: Fluency with common model optimization and deployment toolchains (e.g. ONNX, TensorRT, AIMET, or equivalent vendor SDKs).\n• Technical depth: Strong Python and C++, PyTorch experience, and comfort with embedded Linux and low-level profiling.\n• The right mindset: A conviction that the only real test is the target chip, not the training cluster.\n• Collaboration & communication: The ability to work independently, make sound calls under uncertainty, and speak fluently to researchers, hardware engineers, and product alike. Professional English required; German is a strong plus (B2 to C1).","responsibilities_text":null,"requirements_text":null,"status":"open","duplicate_of":null,"first_seen":"2026-11-04T00:18:54.093948+00:00","responsibilities_summary":null,"requirements_summary":null,"all_tools":["Embedded Systems","ONNX","Python","C++","PyTorch","Linux"],"posting_language":"en","evidence":[{"language":"english","requirement":"required","quote":"calls under uncertainty, and speak fluently to researchers, hardware engineers, and product alike. Professional English required; German is a strong plus (B2 to C1).","source":"rules"},{"language":"english","requirement":"required","quote":"r uncertainty, and speak fluently to researchers, hardware engineers, and product alike. Professional English required; German is a strong plus (B2 to C1).","source":"rules"},{"language":"german","requirement":"preferred","quote":"ak fluently to researchers, hardware engineers, and product alike. Professional English required; German is a strong plus (B2 to C1).","source":"rules"}],"years_experience_max":null,"mobility_evidence":[],"model_version":"rules-8","english_badge":"English required","company_id":2275}