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Intelligent Systems Engineering Jobs in Texas (NOW HIRING)

Systems Engineer

Dallas, TX · On-site

$140K - $160K/yr

We are needing someone with 5-7 years of Systems Engineering experience who is an expert within a ... Personality-wise we need someone who is intelligent, curious, and a team player. Someone who is ...

With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively ... Own cost estimation for Systems Engineering labor and Project Material/BOM, including final review ...

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Engineering Systems & Integration * Support complex hardware-in-the-loop (HIL), software-in-the ...

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Engineering Systems & Integration * Support complex hardware-in-the-loop (HIL), software-in-the ...

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Engineering Systems & Integration * Support complex hardware-in-the-loop (HIL), software-in-the ...

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Provide day-to-day support to engineering users, including issue resolution, training, and ...

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Provide day-to-day support to engineering users, including issue resolution, training, and ...

Showing results 21-40

Intelligent Systems Engineering information

See Texas salary details

$56.4K

$132.4K

$182.6K

How much do intelligent systems engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for intelligent systems engineering in Texas is $132,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $161,200.00 per year, depending on experience, location, and employer.

What do intelligent systems engineers do?

Intelligent systems engineers design, develop, and implement software and hardware systems that incorporate artificial intelligence, machine learning, and automation technologies. They analyze complex problems, create algorithms, and work with tools like robotics, data analysis, and programming languages such as Python or C++. Their work often involves testing, optimization, and ensuring systems operate reliably in real-world environments.

What is intelligent systems engineering?

An Intelligent Systems Engineering job involves designing, developing, and optimizing smart systems that integrate AI, machine learning, and advanced computing. Professionals in this field work on applications such as autonomous systems, robotics, cybersecurity, and biomedical devices. They use data-driven approaches and computational models to enhance decision-making and automation. These roles exist in industries like healthcare, automotive, aerospace, and IoT.

How much do intelligent systems engineers make?

Intelligent systems engineers typically earn a median annual salary of around $100,000 to $130,000, depending on experience, education, and location. Professionals with advanced skills in machine learning, robotics, and programming languages like Python or C++ tend to have higher earning potential.

What are the key skills and qualifications needed to thrive in intelligent systems engineering, and why are they important?

Successful careers in Intelligent Systems Engineering require a strong background in computer science, control systems, mathematics, and often an advanced degree in engineering or a related field. Proficiency with programming languages (such as Python, C++, or MATLAB), experience with machine learning frameworks, and familiarity with embedded systems and sensor integration are typically expected. Strong analytical thinking, problem-solving skills, and effective collaboration are essential soft skills in this position. These competencies enable professionals to design, develop, and optimize complex intelligent systems that perform reliably in real-world applications.

What are the main challenges faced when working as an intelligent systems engineer?

Intelligent Systems Engineers often encounter challenges such as integrating diverse hardware and software components, ensuring system reliability, and optimizing performance under real-world conditions. They must stay current with rapidly evolving technologies and continuously adapt their solutions to meet new requirements or constraints. Collaboration across multidisciplinary teams, including software developers, hardware engineers, and data scientists, is common and essential for project success. Tackling these challenges develops a well-rounded skill set and provides significant opportunities for professional growth and innovation.

What are the most commonly searched types of Intelligent Systems Engineering jobs in Texas? The most popular types of Intelligent Systems Engineering jobs in Texas are:
What job categories do people searching Intelligent Systems Engineering jobs in Texas look for? The top searched job categories for Intelligent Systems Engineering jobs in Texas are:
Infographic showing various Intelligent Systems Engineering job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $132,360 per year, or $63.6 per hour.

Advanced Analytics Research Scientist - Industrial Edge Intelligence

Rockwell Automation, Inc.

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

197th of 487 rated machine equipment manufacturers


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
At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
#LI-PD1
#LI-hybrid
#lifeatROK
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.
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.

What Rockwell Automation employees say

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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 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.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

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