Senior AI Accelerator Architect for Scalable Training

QUALCOMM, Inc.; Santa Clara (CA); On-site; USD 127,000 - 190,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking AI Accelerator Architecture Engineers to drive functional, performance and power enhancements for on-device AI training and large-scale inference.

The role focuses on scalable hardware-software integration across accelerators, GPUs, and SOCs to support state-of-the-art ML workloads. You will work with the AI Architecture team, analyze architectures, design flexible computing blocks, memory subsystems, and power-optimized solutions, while collaborating with

Qualifications

• Master's degree or higher required, with 3+ years hardware engineering experience
• In-depth knowledge of Nvidia/AMD GPU capabilities and architectures
• Knowledge of LLM architectures and their HW requirements

Responsibilities

• Understand ML network design trends from customer engagements and research
• Define hardware requirements for AI training systems with customers
• Analyze current accelerator and GPU architectures
• Architect enhancements for efficient AI model training
• Design flexible computational blocks for various datatypes and precisions

Skills

C++

Python

Hardware Architecture

GPU Architectures

ML Frameworks

Education

Master's degree

Bachelor's degree

PhD

Tools

CUDA

DeepSpeed

Job description

Qualcomm Technologies, Inc. is seeking AI Accelerator Architecture Engineers to drive functional, performance and power enhancements for on-device AI training and large-scale inference.

The role focuses on scalable hardware-software integration across accelerators, GPUs, and SOCs to support state-of-the-art ML workloads. You will work with the AI Architecture team, analyze architectures, design flexible computing blocks, memory subsystems, and power-optimized solutions, while collaborating with