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About the Role

We are looking for an inventive AI engineer/scientist to help build the next generation of AI-native industrial automation systems powered by the latest edge compute platforms. You will focus on developing intelligent systems capable of real-time learning, reasoning, optimization, and autonomous operation, bringing advanced AI capabilities closer to machines, processes, and operational decision making. This role redefines industrial automation through AI-native system design, embedding intelligence directly at the edge for learning, adaptation, and autonomous operation in real-world environments.

Responsibilities

Develop AI-native industrial systems capable of real-time reasoning and decision making, adaptive process optimization, autonomous operational behaviors, continuous learning from operational data, and intelligent coordination across distributed industrial assets.
Design and deploy AI solutions on latest edge compute platforms with advanced CPU/GPU acceleration capabilities.
Build architectures that combine generative AI and small language models, machine learning and reinforcement learning, optimization and control systems, streaming analytics and event-driven intelligence, and distributed and edge-native AI inference.
Ensure low-latency AI execution directly within industrial environments while balancing performance, reliability, and operational constraints.
Integrate AI capabilities with industrial automation systems, robotics platforms, sensors, controllers, and operational infrastructure.
Collaborate with diverse teams spanning AI research, controls engineering, embedded systems, and industrial operations.

Requirements

Bachelor's Degree in Relevant Field
Typically requires 5+ years relevant experience
Background in Edge AI systems, Machine learning systems engineering, Autonomous systems, Industrial AI, or Embedded or distributed AI architectures.
Experience developing and deploying AI applications in resource-constrained or real-time environments.
Software engineering skills in Python and modern AI/ML frameworks.
Familiarity with edge inference optimization, GPU-accelerated computing, streaming and real-time systems, distributed AI architectures, and control and optimization systems.
Ability to bridge advanced AI concepts with practical deployment in operational environments.
Curiosity, creativity, and a passion for building intelligent systems that interact directly with the physical world.

Skills

Python
Generative AI
Small language models
Machine learning
Reinforcement learning
Optimization
Control systems
Streaming analytics
Event-driven intelligence
Distributed AI inference
Edge AI
Machine learning systems engineering
Autonomous systems
Industrial AI
Embedded AI
Distributed AI architectures
Edge inference optimization
GPU-accelerated computing
Real-time systems
Industrial automation
Control systems
Robotics
Adaptive control
Time-series analytics
Anomaly detection
Embedded systems
Edge deployment toolchains
Digital twins
Simulation environments
Vision-language AI
Multimodal AI
Cyber-physical systems
Operational technology (OT)

Location

Austin, TX

Work Type

Hybrid

Experience Level

5+ years relevant experience

Education Level

Bachelor's Degree

Benefits

Health Insurance including Medical, Dental and Vision
401k
Paid Time off
Parental and Caregiver Leave
Flexible Work Schedule

About the Company

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile.
With more than 28,000 employees, we are energized problem solvers who take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work.

Equal Opportunity

We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.