Description

Optimize state-of-the-art AI/ML models for maximum performance on automotive hardware and software platforms.

Responsibilities

• Optimize and tune ML models for specific CPU, GPU, and dedicated hardware IP block architectures.
• Maximize performance of AI-powered infotainment functionality across different car lines.
• Implement performance-critical algorithms tailored for ARM, x86, and Nvidia GPU architectures.
• Ensure efficient hardware utilization to drive high-quality user experiences in-car.

Required Skills

• 5+ years of experience in Machine Learning, Deep Learning, NLP, and data preprocessing.
• Proficiency in Python, C/C++, and ARM/x86 assembly.
• Hands-on experience with PyTorch, TensorFlow, and Keras.
• Experience optimizing algorithms for ARM, x86, and Nvidia GPU architectures.
• Knowledge of performance toolkits and software stacks including CUDA, CuDNN, TensorRT, and JIT + JAX.
• Understanding of parameter efficient fine-tuning techniques such as LoRA and PEFT.
• Strong written and verbal English communication skills.

Preferred Skills

• Experience with embedded systems in automotive environments.

Key Skills

Education

Any Graduate