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Internship Intelligent Systems Engineering Jobs in Dallas, TX

Shield AI

Senior Staff Systems Engineer (R4738)

Dallas, TX · On-site

$180K - $270K/yr

... with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT ... 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 ...

Addison Group

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 ...

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How much do internship intelligent systems engineering jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for internship intelligent systems engineering in Dallas, TX is $19.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

What is an intelligent systems engineering salary?

The salary for an internship in intelligent systems engineering typically ranges from $15 to $30 per hour, depending on the location, company, and level of education. Interns often work with skills in programming, machine learning, and robotics, and may receive additional benefits such as mentorship and training opportunities.

How much do AI engineer interns get paid?

AI engineer interns typically earn between $15 and $30 per hour, depending on the company, location, and level of experience. Internships often include opportunities to work with machine learning frameworks and programming languages like Python or TensorFlow.

What is the difference between Internship Intelligent Systems Engineering vs Internship Robotics Engineering?

AspectInternship Intelligent Systems EngineeringInternship Robotics Engineering
Required CredentialsRelevant coursework, basic programming skills, possibly some certifications in AI or systemsSimilar credentials, with additional focus on mechanical design and embedded systems
Work EnvironmentSoftware development, data analysis, AI model training in tech or research labsHardware assembly, testing, and programming in robotics labs or manufacturing settings
Employer & Industry UsageTech companies, research institutions, AI startupsManufacturers, automation firms, robotics startups

Internship Intelligent Systems Engineering and Internship Robotics Engineering share overlapping skills in programming and technical knowledge. However, Intelligent Systems internships focus more on AI, data analysis, and software development, while Robotics Engineering internships emphasize hardware, mechanical systems, and embedded programming. Both roles prepare interns for careers in high-tech industries, but their core focus areas differ based on the nature of the work environment and industry applications.

What do intelligent system engineers do?

Intelligent system engineers design, develop, and implement systems that incorporate artificial intelligence, machine learning, and data analysis to solve complex problems. They work with algorithms, programming languages, and tools like Python or MATLAB, often collaborating with cross-disciplinary teams to create autonomous or adaptive systems.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or systems engineering can earn $500,000 or more annually, often through senior roles, bonuses, or stock options. These positions typically require advanced skills, extensive experience, and sometimes leadership responsibilities in high-demand industries.
What are popular job titles related to Internship Intelligent Systems Engineering jobs in Dallas, TX? For Internship Intelligent Systems Engineering jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Internship Intelligent Systems Engineering jobs in Dallas, TX look for? The top searched job categories for Internship Intelligent Systems Engineering jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Internship Intelligent Systems Engineering jobs? Cities near Dallas, TX with the most Internship Intelligent Systems Engineering job openings:
Internship Intelligent Systems Engineering jobs near you
Infographic showing various Internship Intelligent Systems Engineering job openings in Dallas, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $39,742 per year, or $19.1 per hour.

Senior Engineer, Software Systems (R4903) with Security Clearance

Shield AI Inc

Dallas, TX • On-site

Other

Posted 5 days ago

Job description

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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 a skilled Systems Engineer to join the Hivemind Solutions Systems Engineering team. In this role, the candidate will support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software. This role requires a strong foundation in systems thinking, cross-functional collaboration, and the ability to translate stakeholder needs into robust technical solutions. What you'll do: * Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives * Develop system architectures and perform trade studies to balance performance, cost, and risk * Coordinate and manage interfaces across hardware, software, and external systems * Support system integration, verification, and validation activities, including test planning and execution * Identify technical risks and develop mitigation strategies throughout the system lifecycle Required qualifications: * A minimum of 5 years of systems engineering or related experience with a Bachelor's degree; or 4 years and a Master's Degree; or 2 years with a PhD; or equivalent work experience * B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering) * Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements * Experience with MBSE and related efforts * Experience working in cross-functional teams * Excellent communication skills, both written and verbally * Organized and methodical * Software engineer experience in C++ and/or Python * Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics * Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others * The ability to obtain and maintain a US Security Clearance. US Citizenship is required as only US citizens are eligible for a security clearance Preferred qualifications: * Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL) * Expertise with Requirement & Design decomposition * Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles #LI-DM2 #LC 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.

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