AI Research Engineer

A company is looking for an AI Research Engineer to optimize deep learning models for edge AI platforms.

Key Responsibilities

Research and develop quantization-aware training (QAT) and post-training quantization (PTQ) techniques for deep learning models

Design and optimize efficient inference algorithms for AI workloads, focusing on latency, memory footprint, and power efficiency

Collaborate with hardware engineers to optimize model execution for edge devices and NPUs

Required Qualifications

Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field

Strong expertise in deep learning, model optimization, and numerical precision analysis

Hands-on experience with model quantization techniques (QAT, PTQ, mixed precision)

Proficiency in Python, C++, CUDA, or OpenCL for performance optimization

Understanding of low-level hardware acceleration (e.g., SIMD, AVX, Tensor Cores, VNNI)