Senior AI/ML Engineer - Embedded Automotive Performance Optimization

October 20

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Cinemo

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High-performance and automotive-grade multimedia playback • streaming • media management and connectivity middleware.

201 - 500

Description

• Design, develop, and maintain Cinemo’s in-vehicle infotainment software solutions • Ensure 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

Requirements

• 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