Responsibilities:
– Implement firmware on a deeply embedded AI platform with tight latency, memory, compute and energy constraints
– Collaborate with AI and DSP experts to analyze audio AI algorithms for hearables and hearing aid applications
– Tailor AI algorithms to the embedded platform (e.g. quantization, scaling according to the memory and compute constraints)
– Optimize performance, energy, and latency throughout the entire embedded AI software stack
Qualifications:
– Degree in computer science, electrical engineering or a comparable qualification
– Profound experience in embedded C/C++, Python, and object-oriented programming
– Experience with embedded neural networks and their deployment frameworks (TFLite, ONNX, TVM, etc.), compilers, micro NPUs and system simulations
– Knowledge in audio processing is a plus
– Fluent in English
Benefits:
– Open corporate culture
– Flat hierarchies
– Support for further training and development
– Opportunities to take on responsibility
– Excellent range of foods, sports and cultural facilities
– Attractive employment conditions
– Flexible working time models
– Equal treatment in regard to employment and opportunity for employment