Edge AI Scientist for Industrial Automation

University of Georgia- FACS; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health Insurance including Medical,_DA

401k

Paid Time off

Parental and Caregiver Leave

Flexible Work Schedule

Job summary

Rockwell Automation in Austin, TX is seeking an inventive AI engineer/scientist to build AI-native industrial automation systems powered by edge compute platforms. You will design real-time learning, reasoning, optimization, and autonomous operation within industrial environments.

The role focuses on edge AI, distributed systems, and real-time analytics, reporting to the Director AI with a hybrid schedule. Candidates should have 5+ years in relevant fields and strong Python/ML skills.

Qualifications

• Bachelor's degree in a relevant field.
• 5+ years of relevant experience preferred.
• Experience with edge AI and autonomous systems.
• Strong Python and ML framework skills.

Responsibilities

• Develop AI-native industrial systems with real-time reasoning and autonomous operation.
• Deploy AI on edge compute platforms with CPU/GPU acceleration.
• Collaborate with AI research, controls engineering, embedded systems, and operations teams.

Skills

Edge AI

Reinforcement Learning

Python

Distributed AI

Education

Bachelor's Degree in Relevant Field

Tools

TensorFlow

PyTorch

CUDA

Job description

Rockwell Automation in Austin, TX is seeking an inventive AI engineer/scientist to build AI-native industrial automation systems powered by edge compute platforms. You will design real-time learning, reasoning, optimization, and autonomous operation within industrial environments.

The role focuses on edge AI, distributed systems, and real-time analytics, reporting to the Director AI with a hybrid schedule. Candidates should have 5+ years in relevant fields and strong Python/ML skills.