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Intelligent Systems Engineering Jobs in Texas (NOW HIRING)

Shield AI

Senior Staff Systems Engineer (R4738)

Dallas, TX · On-site

$180K - $270K/yr

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... This position requires a deep understanding of aerospace systems engineering, autonomy, and complex ...

Shield AI

Senior Staff Systems Engineer (R4738)

Dallas, TX

$170K - $250K/yr

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... This position requires a deep understanding of aerospace systems engineering, autonomy, and complex ...

Shield AI

Senior Staff Systems Engineer (R4738)

Dallas, TX

$170K - $250K/yr

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... This position requires a deep understanding of aerospace systems engineering, autonomy, and complex ...

Shield AI

PLM Systems Administrator (R4896)

Dallas, TX · On-site

... with intelligent systems. They are seeking a Product Lifecycle Management (PLM) Systems ... Required : • Bachelor's degree in Computer Science, Information Systems, Engineering, or related ...

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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 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 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 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.

Senior Staff Engineer, Ground System Software (R5199)

Shield AI

Dallas, TX

$180K - $270K/yr

Full-time

Re-posted 28 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:

We are seeking an experienced Software Systems Engineer with a strong background in software design and development and a working knowledge of systems engineering processes, methodologies, and tools. This individual will play a key role in defining, developing, integrating, and validating complex software systems while ensuring alignment with system-level requirements, architecture, and program objectives.

The ideal candidate combines deep technical software expertise with an understanding of systems engineering principles, including requirements management, model-based systems engineering (MBSE), verification and validation, configuration management, customer communications and cross-functional technical leadership.

What you'll do:

Software Architecture & Development

  • Participate in the development of software architectures for complex, distributed, and mission-critical systems.
  • Engage in software design activities from concept through deployment and sustainment.
  • Work with software responsible engineers to develop and model high-quality, scalable, maintainable software solutions using modern programming languages, frameworks & System Modeling Tools.
  • Develop, review and maintain architecture diagrams to support government reference architectures.
  • Engage with internal stakeholders to develop software architecture behavior diagrams/ documents to support customer deliverables.
  • Communicate technical concepts effectively to engineering, program management, and customer stakeholders.

Systems Engineering Integration

  • Collaborate with systems engineers to derive software requirements from system-level requirements and operational needs.
  • Ensure software solutions maintain traceability to stakeholder, system, and subsystem requirements.
  • Participate in architecture trade studies and technical decision-making activities.
  • Support system decomposition, interface definition, and allocation of requirements.
  • Contribute to system design reviews including SRR, PDR, CDR, TRR, and related technical milestones.
  • Work closely with hardware, network, test, and integration teams to ensure end-to-end system performance.
Required qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Systems Engineering, Computer Engineering, or related technical field.
  • 8+ years of software engineering experience.
  • 3+ years of software architecture or technical leadership experience.
  • Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.
  • Familiarity with software development lifecycle (SDLC) methodologies.
  • Understanding of systems engineering processes and standards.
  • Experience with requirements management and traceability practices.
  • Experience using version control and CI/CD tools.
Preferred qualifications:
  • Experience in aerospace, defense, robotics, autonomous systems, aviation, automotive, telecommunications, or other complex systems domains.
  • Experience with GCS software, mission planning tools, or real-time visualization platforms.
  • Familiarity with Model-Based Systems Engineering (MBSE) methodologies.
  • Experience with systems engineering tools such as:
    • Cameo Systems Modeler / MagicDraw
    • IBM DOORS Next
    • Jama Connect
    • Stell
    • JIRA
    • Confluence
  • Experience with cloud-native architectures, containerization, and orchestration technologies.
  • Familiarity with Autonomy Government Reference Architectures, Open Mission Systems and Universal Command & Control Interface.
Desired skills:
  • Ability to operate effectively across multiple engineering disciplines.
  • Strong systems thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Ability to translate complex system requirements into practical software solutions.
  • Experience balancing technical, programmatic, and operational constraints.
  • Strong leadership and collaboration skills.
  • Interface Control Documents (ICDs) development and management
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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.
 
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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.