Senior AI Accelerator Architect (Training Systems)

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

Job summary

Qualcomm Technologies, Inc. is seeking an AI Accelerator Architecture Engineer to drive functional, performance and power enhancements for AI training systems. You will work on scalable HW/SW solutions across accelerators, GPUs, and NoC designs, collaborating with customers and internal teams.

The role focuses on architecture, data types, precision, memory subsystems, and pre-silicon performance modeling for state-of-the-art AI workloads.

Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, or related field
• 3+ years Hardware Engineering experience defining architecture of GPUs or accelerators used for training of AI models
• In-depth knowledge of nVidia/AMD GPU capabilities and architectures
• Knowledge of LLM architectures and their HW requirements

Responsibilities

• Understand trends in ML network design through customer engagements and latest academic research and determine how this will affect both SW and HW design
• Work with customers to determine hardware requirements for AI training systems
• Analysis of current accelerator and GPU architectures
• Architect enhancements required for efficient training of AI models
• Design and architecture of flexible Computational Blocks (data types, precisions, GEMM/GEMV)
• Memory technology and subsystems optimized for a range of requirements (capacity, bandwidth, compute in memory)
• Scale-Out and Scale-Up Architectures (Switches, NoCs, Codesign with Communication Collectives)
• Optimized for Power; Competitive analysis; Codesign HW with SW/GenAI requirements
• Define performance models to prove effectiveness of architecture proposals; Pre-Silicon prediction of performance
• Analyze performance/area/power trade-offs for future HW and SW ML algorithms

Skills

Hardware Architecture

C++

Python

NoC design

Hardware simulators

CUDA / GPU architectures

Power optimization

Education

Master's degree

Bachelor's degree

PhD

Tools

NoC design tools

Hardware simulators

TensorFlow

PyTorch

Job description

Qualcomm Technologies, Inc. is seeking an AI Accelerator Architecture Engineer to drive functional, performance and power enhancements for AI training systems. You will work on scalable HW/SW solutions across accelerators, GPUs, and NoC designs, collaborating with customers and internal teams.

The role focuses on architecture, data types, precision, memory subsystems, and pre-silicon performance modeling for state-of-the-art AI workloads.