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Full Time Intelligent Systems Engineering Jobs (NOW HIRING)

This position requires a deep understanding of aerospace systems engineering, autonomy, and complex ... Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity ...

... 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 ...

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Full Time Intelligent Systems Engineering information

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$60.5K

$142.1K

$196K

How much do full time intelligent systems engineering jobs pay per year?

As of Jun 19, 2026, the average yearly pay for full time intelligent systems engineering in the United States is $142,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $173,000.00 per year, depending on experience, location, and employer.

Is AI replacing ECE jobs?

Full Time Intelligent Systems Engineering roles often involve developing and implementing AI technologies, but AI is more likely to augment rather than replace ECE jobs. Engineers with skills in machine learning, programming, and systems integration are in demand to design, maintain, and improve AI systems, making their expertise essential in this evolving field.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or systems engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries like technology or aerospace. Executive or lead engineering roles often include compensation packages that reach or exceed this level, particularly when combined with bonuses and stock options.

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 often work in high-demand industries like technology or aerospace.

What is the difference between Full Time Intelligent Systems Engineering vs Robotics Engineering?

AspectFull Time Intelligent Systems EngineeringRobotics Engineering
Required CredentialsBachelor's or higher in Engineering, Computer Science, or related fields; certifications in AI or systems integrationBachelor's or higher in Mechanical, Electrical, or Robotics Engineering; certifications in automation or control systems
Work EnvironmentResearch labs, tech companies, or industrial settings focusing on AI and intelligent systemsManufacturing plants, automation facilities, or robotics labs
Industry UsageAI-driven systems, autonomous vehicles, smart infrastructureRobotic systems, automation equipment, industrial robots

Full Time Intelligent Systems Engineering focuses on designing and developing AI-powered systems and smart technologies, often involving software and system integration. Robotics Engineering centers on creating physical robotic devices and automation hardware. While both roles require engineering backgrounds, Intelligent Systems Engineers emphasize AI and software, whereas Robotics Engineers focus on mechanical and electrical components.

What is an intelligent systems engineering salary?

The salary for a full-time 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 may earn higher salaries, especially in high-demand industries or with advanced certifications.
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What job categories do people searching Full Time Intelligent Systems Engineering jobs look for? The top searched job categories for Full Time Intelligent Systems Engineering jobs are:
Senior Engineer, Software Systems (R4903)

Senior Engineer, Software Systems (R4903)

Shield AI

San Diego, CA

$110K - $170K/yr

Full-time

Posted 14 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
$110,000 - $170,000 a year
#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.
 
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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.
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