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Intelligent Systems Engineering Jobs in Texas (NOW HIRING)

Kapsch TrafficCom

Systems Engineer IV

Austin, TX · On-site

With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively ... Bachelor's degree in Engineering or a related technical discipline. * Proven experience working ...

Frost

Engineer III - AI

San Antonio, TX · On-site

Responsibilities : • Design and architect intelligent systems and workflows that leverage agentic ... orchestration, prompt engineering, tool orchestration, planner/verifier roles, and system ...

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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 22, 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 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.

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 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.

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, or AI tools may earn higher salaries, especially in specialized or high-demand industries.

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 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 are popular job titles related to Intelligent Systems Engineering jobs in Texas?

For Intelligent Systems Engineering jobs in Texas, the most frequently searched job titles 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:

Intelligent Systems Engineering jobs near you
Infographic showing various Intelligent Systems Engineering job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,360 per year, or $63.6 per hour.

Technician 3, Quality Systems Engineering (R4956)

Shield AI

Dallas, TX • On-site

$28 - $42/hr

Full-time

Re-posted 16 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Join a team dedicated to building quality and reliability into advanced products from the ground up. In this role, you will support critical quality management processes, collaborate across engineering and manufacturing teams, and help ensure systems, documentation, and production activities meet the highest standards. Working in a fast-paced environment, you'll play a key role in driving continuous improvement, operational excellence, and mission-ready performance.
What you'll do:
Key Responsibilities
  • Support daily execution of QMS processes and activities.
  • Assist with maintaining procedures, work instructions, and quality records.
  • Help track and follow up on audit findings, corrective actions, and process updates.

New Product and Production Support
  • Assist engineers in ensuring new products and processes meet QMS requirements.
  • Support documentation and readiness activities prior to production or manufacturing reviews.
  • Participate in inspections and verification activities as needed.

Documentation and Systems
  • Maintain document control processes, including updates, revisions, and archival of records.
  • Enter and manage data within quality systems, ERP systems, or tracking tools.
  • Help ensure accuracy and completeness of quality documentation and training records.

Audit and Compliance Support
  • Support preparation activities for internal and external audits.
  • Compile documentation and objective evidence for audit reviews.
  • Participate in internal audits under guidance from certified auditors.

Continuous Improvement
  • Assist with root cause investigations using structured problem-solving tools.
  • Support implementation and verification of corrective and preventive actions.
  • Help monitor key quality metrics and report trends to engineering or management.

Training and Cross Functional Coordination
  • Support coordination of QMS related training and maintain training records.
  • Work with manufacturing, engineering, and supply chain teams to communicate quality requirements.

Required qualifications:
  • 1 to 3 years of experience in a quality, manufacturing, or technical support role, preferably in aerospace or a regulated environment.
  • Familiarity with basic root cause analysis methods such as 5 Whys or Fishbone.
  • Strong attention to detail, organizational skills, and ability to follow established procedures.

Preferred qualifications:
  • Working knowledge of AS9100 or ISO 9001 standards.
  • Experience with document control systems, ERP systems, or quality data tracking tools preferred.
  • Certification or training in quality (e.g., Six Sigma Yellow/Green Belt)

$28 - $42 an hour
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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