Overview In this role you will bridge cutting-edge AI with ultra-low-power embedded systems to build the embedded AI software stack for next-generation hearing instruments. You will collaborate with AI and DSP experts to adapt and deploy DNNs under tight resource constraints, shaping Sonova’s edge AI capabilities. You’ll turn prototypes into production-ready features and continuously improve ML/DNN development practices. This is a hands-on, impact-driven role at the core of our innovative firmware and platform work. Leistungen / Benefits flexible hybrid working model training opportunities growth opportunities with individual development plans inclusive culture Verantwortungsbereiche Develop firmware for a deeply embedded AI platform under strict latency, memory, compute and energy constraints Design and maintain the embedded AI software stack with optimization for performance, latency and energy efficiency Collaborate with AI and DSP experts to analyze and deploy DNNs for hearing-device applications Tailor AI algorithms to embedded constraints (quantization, memory, compute, power) Implement prototypes and bring them to production-ready features in collaboration with other engineering teams Maintain high software quality via clean-code practices, reviews, testing, documentation and root-cause analysis Continuously improve development methodologies, tools, and best practices for ML/DNN deployment Zentrale Anforderungen Degree in Computer Science, Electrical Engineering, or related field Strong hands-on experience with embedded C++, Python, and object-oriented programming Experience deploying neural networks on embedded systems and familiarity with frameworks such as TensorFlow Lite, ONNX, TVM, or ExecuTorch Knowledge of embedded compilers, micro-NPUs, and system-level simulation CUDA experience is an advantage Knowledge of audio or digital signal processing is an advantage Experience in bringing features to products is an advantage Fluent English with strong written and verbal communication skills cross-functional collaboration strong communication problem solving embedded C++ Python TensorFlow Lite
Software Engineer Embedded AI (m/f/d) Arbeitgeber: Sonova
Sennheiser Consumer Hearing ist ein hervorragender Arbeitgeber, der eine inklusive Unternehmenskultur fördert und es Ihnen ermöglicht, Ihre Karriere mit Ihren persönlichen Interessen in Einklang zu bringen. Mit einem flexiblen hybriden Arbeitsmodell und umfangreichen Weiterbildungsmöglichkeiten bieten wir außergewöhnliche Wachstumschancen, während Sie die Wachstumsstrategie einer globalen Premium-Marke gestalten und dabei signifikante Verantwortung und Autonomie genießen.