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Intelligent Systems Engineering Jobs in Texas (NOW HIRING)

... 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 ...

... 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 ...

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

Systems Engineer

Dallas, TX ยท 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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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 Jul 13, 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 solutions that enable machines to perform tasks requiring human intelligence, such as perception, decision-making, and learning. They work with artificial intelligence, machine learning, robotics, and data analysis tools to create autonomous systems and improve existing technologies. Strong programming skills and knowledge of algorithms are essential in this role.

What is an intelligent systems engineering salary?

The salary for an intelligent systems engineer typically ranges from $80,000 to $130,000 annually, depending on experience, education, and location. Professionals with specialized skills in AI, machine learning, and robotics tend to earn higher salaries, especially in tech hubs or industries with high demand for automation and intelligent solutions.

What is an Intelligent Systems Engineering job?

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 key skills and qualifications needed to thrive in the Intelligent Systems Engineering position, 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 engineers make $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, especially in senior or executive roles at large technology companies. These positions often require advanced skills, certifications, and extensive industry experience, and may include bonuses and stock options that contribute to total compensation.

What engineers make $200,000 a year?

Engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in aerospace or data science can earn $200,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Senior-level positions often require advanced degrees, certifications, and extensive expertise in their domain.

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:
Infographic showing various Intelligent Systems Engineering job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $132,360 per year, or $63.6 per hour.
Senior Engineer, Software Systems (R4903)

Senior Engineer, Software Systems (R4903)

Shield AI

San Diego, TX โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Shield AI is a venture-backed defense-tech company focused on protecting service members and civilians with intelligent systems. They are seeking a skilled Systems Engineer to support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software.
Responsibilities:
โ€ข Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives
โ€ข Develop system architectures and perform trade studies to balance performance, cost, and risk
โ€ข Coordinate and manage interfaces across hardware, software, and external systems
โ€ข Support system integration, verification, and validation activities, including test planning and execution
โ€ข Identify technical risks and develop mitigation strategies throughout the system lifecycle
Qualifications:
Required:
โ€ข A minimum of 5 years of systems engineering or related experience with a Bachelorโ€™s degree; or 4 years and a Masterโ€™s Degree; or 2 years with a PhD; or equivalent work experience
โ€ข B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering)
โ€ข Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements
โ€ข Experience with MBSE and related efforts
โ€ข Experience working in cross-functional teams
โ€ข Excellent communication skills, both written and verbally
โ€ข Organized and methodical
โ€ข Software engineer experience in C++ and/or Python
โ€ข Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
โ€ข Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
โ€ข 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:
โ€ข Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)
โ€ข Expertise with Requirement & Design decomposition
โ€ข Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles
Company:
Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians. Founded in 2015, the company is headquartered in San Diego, USA, with a team of 1001-5000 employees. The company is currently Late Stage.