AI/ML Engineer -Embedded/Automotive Performance Optimization Full-time

Position Description

As a (Senior) Software Engineer at Cinemo, you will play a critical role in the development and enhancement of our AI/ML powered applications for wide range of automotive hardware and OS platforms such as Android Automotive OS (AAOS) and Linux. Your primary responsibility will be to design, develop, and maintain high-quality Cinemo’s in-vehicle infotainment software solutions that meet the needs of our customers.

In this role, you will:

• 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