Advanced Analytics Research Scientist - Industrial Edge Intelligence (Monterrey)

Advanced Analytics Research Scientist - Industrial Edge Intelligence (Monterrey)

17 oct
|
Rockwell Automation
|
Monterrey

17 oct

Rockwell Automation

Monterrey

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 integral 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 DescriptionWe 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, TXResponsibilitiesDevelop AI-native industrial systems capable of:



Real-time reasoning and decision makingAdaptive process optimizationAutonomous operational behaviorsContinuous learning from operational dataIntelligent coordination across distributed industrial assetsDesign and deploy AI solutions on latest edge compute platforms with advanced CPU/GPU acceleration capabilitiesBuild architectures that combine: Generative AI and small language modelsMachine learning and reinforcement learningOptimization and control systemsStreaming analytics and event-driven intelligenceDistributed and edge-native AI inferenceEnsure low-latency AI execution directly within industrial environments while balancing performance, reliability, and operational constraintsIntegrate AI capabilities with industrial automation systems, robotics platforms, sensors, controllers, and operational infrastructureCollaborate with diverse teams spanning AI research, controls engineering, embedded systems, and industrial operationsThe Essentials - You Will Have:Bachelor's Degree in Relevant FieldThe Preferred - You Might Also Have:Typically requires 5+ years relevant experienceBackground in the following: Edge AI systems Machine learning systems engineering Autonomous systems Industrial AI Embedded or distributed AI architecturesExperience developing and deploying AI applications in resource-constrained or real-time environmentsSoftware engineering skills in Python and modern AI/ML frameworksFamiliarity with:



Edge inference optimization GPU-accelerated computing Streaming and real-time systems Distributed AI architectures Control and optimization systemsBridge advanced AI concepts with practical deployment in operational environmentsCuriosity, creativity, and a passion for building intelligent systems that interact directly with the physical worldBonus 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 OfferHealth Insurance including Medical, Dental and Vision401kPaid Time offParental and Caregiver LeaveFlexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal lifeTo learn more about our benefits package, please visit at position is part of a job family.
Experience will be the determining factor for position level and compensationHybrid policyRockwell 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 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!
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📌 Advanced Analytics Research Scientist - Industrial Edge Intelligence (Monterrey)
🏢 Rockwell Automation
📍 Monterrey

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