Senior AI Hardware Architect for Edge & Training

Qualcomm; Raleigh (NC); On-site; USD 126,700 - 217,900; Full time

Benefits offered by this job

Competitive annual discretionary bonus

Annual RSU grants

Comprehensive benefits package

Job summary

A leading technology company located in Raleigh, NC is seeking AI Accelerator Architecture Engineers to join their team. The role involves analyzing GPU architectures, defining performance models, and architecting enhancements for AI training systems. Candidates should have a Master's degree in Computer Science or related field, along with substantial experience in hardware engineering and knowledge of AI training frameworks. A competitive salary, ranging from $126,700 to $217,900, along with various benefits, is offered.

Qualifications

• Master's or PhD in a relevant field required.
• 3+ years experience in hardware engineering.
• Knowledge of GPU architectures is essential.

Responsibilities

• Architect enhancements for efficient AI model training.
• Analyze current accelerator and GPU architectures.
• Define performance models for architecture proposals.

Skills

Hardware Engineering

C++

Python

AI Training systems

Machine Learning

Education

Master's degree in Computer Science or related field

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

NVIDIA DGX

Job description

A leading technology company located in Raleigh, NC is seeking AI Accelerator Architecture Engineers to join their team. The role involves analyzing GPU architectures, defining performance models, and architecting enhancements for AI training systems. Candidates should have a Master's degree in Computer Science or related field, along with substantial experience in hardware engineering and knowledge of AI training frameworks. A competitive salary, ranging from $126,700 to $217,900, along with various benefits, is offered.