AI Engineer - Model Optimization & Acceleration at AMD | Bangalore

What You Do at AMD Changes Everything

At AMD, our mission is to build great products that accelerate next-generation computing experiences, from AI and data centers to PCs, gaming, and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity, and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges, striving for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Role Overview

We are seeking an AI Engineer to optimize and deploy ML models across heterogeneous platforms (CPU, GPU, NPU). Work on scalable, production-ready AI systems across domains like robotics, healthcare, and automotive.

Key Responsibilities

• Optimize diverse models: generative (LLMs, diffusion), vision (classification, detection, segmentation), multi-modal, and speech
• Port models across frameworks (e.g., PyTorch to ONNX to runtimes)
• Deploy on hardware accelerators (GPU/NPU) and optimize performance
• Improve inference latency, throughput, and memory (batching, caching, parallelism, fusion)
• Apply quantization and model compression (FP32 to lower precision)
• Profile and debug system and model performance

Required Skills

• Strong in PyTorch (or similar), ONNX (or equivalent)
• Proficient in Python and C++
• Experience with GPU/hardware acceleration (CUDA/ROCm or similar)
• Solid understanding of deep learning models (transformers, CNNs)
• Knowledge of optimization, quantization, and performance tuning

Good to Have

• Edge AI or embedded deployment
• Generative or multi-modal AI systems
• Distributed inference or streaming pipelines