Description

You will optimize state-of-the-art AI/ML models to run with maximum performance on various automotive hardware and software platforms.

Responsibilities

• Optimize and tune ML models for specific CPU, GPU, and dedicated hardware IP architectures.
• Maximize hardware utilization to ensure high-performance AI-powered infotainment functionality.
• Implement performance-critical algorithms across different automotive platforms.
• Ensure efficient use of available compute resources for improved user experiences.

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.

Key Skills

Education

Any Graduate