Focus on ensuring that state-of-the-art models run with maximum performance on wide range of automotive platforms
Make the most out of embedded/automotive hardware and software platforms in the field of AI/ML
Elevate the in-car experience across different car-lines worldwide by crafting the best-of-class AI-powered infotainment functionality
Optimize and tune the best ML models for different HW/SW platforms
Ensure that every bit of available performance is used for the best possible user experience, including optimization to different CPU/GPU architectures and usage of dedicated hardware IP blocks available on the platform
What you will need to succeed:
Experience in the areas of NLP, Machine Learning, Deep Learning, Data Preprocessing
Experience with optimization of performance-critical algorithms for different CPU (ARM / x86) and GPU architectures (Nvidia)
Experience with state-of-the-art performance toolkits, software stacks and profiling tools (Cuda / CuDNN / TensorRT, Jit + Jax)
Proficient knowledge of Python, C/C++, ARM/x86 assembly, PyTorch, TensorFlow, Keras
Fundamental knowledge about parameter efficient fine-tuning techniques (e.g., LoRA, PEFT)
Good written and verbal English communication skills