Advanced Analytics Research Scientist - Industrial Edge Intelligence

Rockwell Automation; Monterrey; On-site; MXN 2,216,000 - 3,323,000; Full time

Benefits offered by this job

Health Insurance

401k

Paid Time off

Parental Leave

Flexible Work Schedule

Hybrid Work Policy

Job summary

Rockwell Automation is seeking an inventive AI engineer/scientist to build AI-native industrial automation systems leveraging cutting-edge edge compute platforms. You will focus on real-time learning, reasoning, optimization, and autonomous operation within industrial environments, reporting to the Director AI and working in a hybrid setup from Austin, TX.

You will develop AI-native systems that reason and decide in real time, optimize processes, and coordinate across distributed assets while

Qualifications

• Bachelor's degree in a relevant field is required.
• Typically 5+ years of relevant experience.
• Experience building AI-native industrial systems for real-time environments is preferred.

Responsibilities

• Develop AI-native industrial systems with real-time reasoning and decision-making.
• Design adaptive process optimization and autonomous operational behaviors.
• Enable continuous learning from operational data and edge AI deployment.
• Collaborate with AI research, controls engineering, and embedded teams.
• Implement AI solutions on edge compute platforms with GPU acceleration.
• Ensure low-latency AI execution within industrial environments.

Skills

Edge AI systems

Real-time systems

Distributed AI architectures

Industrial AI

Autonomous systems

Education

Bachelor's degree

Tools

Python

AI/ML frameworks

GPU-accelerated computing

Streaming analytics

Job description

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 who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that 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. And if that's you we would love to have you join us!

Job Description

We are looking for a inventive AI engineer/scientist to help build the next generation of AI-native industrial automation systems powered by latest edge compute platforms. You will focus on developing intelligent systems capable of real-time learning, reasoning, optimization, and autonomous operation. These systems operate directly within industrial environments, bringing advanced AI capabilities closer to machines, processes, and operational decision making. You will work at the convergence of edge AI, industrial automation, autonomous systems, embedded intelligence, and real-time operational analytics to help define how you design and operate future industrial systems. This role focuses on redefining industrial automation through AI-native system design. The company embeds intelligence directly at the edge, making it capable of learning, adapting, and operating autonomously in real-world environments. You will work on frontier challenges involving real-time AI, autonomous operation, optimization, and industrial-scale deployment while helping shape the future of intelligent industrial infrastructure. You will report to the Director AI and have a hybrid work schedule, working from Austin, TX

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
• 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
• 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

The Essentials - You Will Have:

• Bachelor's Degree in Relevant Field

The Preferred - You Might Also Have:

• Typically requires 5+ years relevant experience
• Background in the following: Edge AI systems Machine learning systems engineering Autonomous systems Industrial AI 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 Control and optimization systems
• 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
• Bonus Experience Industrial automation or control systems Robotics and autonomous platforms Reinforcement learning or adaptive control Time-series analytics and anomaly detection Embedded systems and edge deployment toolchains Digital twins and simulation environments Vision-language or multimodal AI systems Cyber-physical systems and operational technology (OT)

What We Offer

• Health Insurance including Medical, Dental and Vision
• 401k
• Paid Time off
• Parental and Caregiver Leave
• Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life
• To learn more about our benefits package, please visit at www.raquickfind.com.

This position is part of a job family. Experience will be the determining factor for position level and compensation

Hybrid policy

Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Rockwell Automation, Inc. (NYSE: ROK), is a global leader in industrial automation and digital transformation. We connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more productive and more sustainable. Headquartered in Milwaukee, Wisconsin, Rockwell Automation employs approximately 28,000 problem solvers dedicated to our customers in more than 100 countries. To learn more about how we are bringing the Connected Enterprise to life across industrial enterprises, visit www.rockwellautomation.com.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!