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Full Time Intelligent Systems Engineering Jobs (NOW HIRING)

Shield AI

Senior Staff Systems Engineer (R4738)

San Diego, CA

$110.90K - $151.80K/yr

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

Shield AI

Senior Staff Systems Engineer (R4738)

Boston, MA

$180K - $270K/yr

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

Shield AI

Senior Staff Systems Engineer (R4738)

San Diego, CA · On-site

$110.90K - $151.80K/yr

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

Shield AI

Senior Staff Systems Engineer (R4738)

Boston, MA

$113.50K - $155.40K/yr

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

Peraton

Systems Engineering, SME

Washington, DC · On-site

$146K - $234K/yr

Peraton is seeking a System Engineering SME to support our mission to defend and protect our ... Background in AI/ML-driven DevSecOps practices or intelligent automation for compliance Peraton ...

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

As of May 30, 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.

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.

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Full Time Intelligent Systems Engineering jobs near you
Senior Staff Systems Engineer (R4738)

Senior Staff Systems Engineer (R4738)

Shield AI

San Diego, CA

$110.90K - $151.80K/yr

Full-time

Posted 6 days ago

Job description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the 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:
As a Senior Staff Systems Engineer on Shield AI’s next gen UAS program, you will play a pivotal role in designing, developing, and integrating cutting-edge autonomous aircraft systems for national defense. You will lead the technical execution of system architecture, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission-critical systems.
 
This position requires a deep understanding of aerospace systems engineering, autonomy, and complex system integration. You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and manufacturing to develop a scalable, mission-ready platform capable of operating in contested environments.
 
Your expertise will be critical in defining system requirements and architectures through model-based systems engineering, conducting trade studies, ensuring compliance with military and aviation standards, and supporting the aircraft through flight testing and operational deployment.
What You'll Do:
  • Perform System Architecture & Design: Develop and refine the system architecture for the next gen UAS, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission systems.
  • Define and document system-level behavior, including modes, states, transitions, and fault responses
  • Support safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions
  • Define and Manage System Requirements: Establish top-level requirements, decompose them into subsystems, and maintain traceability across the development lifecycle.
  • Autonomy & AI Integration: Work closely with autonomy and software teams to integrate AI-driven flight control, decision-making, and mission execution capabilities.
  • Model-Based Systems Engineering (MBSE): Utilize SysML, DOORS, or other MBSE tools to create digital system models, conduct trade studies, and optimize system performance.
  • Risk Management & Trade Studies: Conduct trade studies to evaluate design alternatives, assess technical risks, and ensure the best engineering solutions for mission effectiveness.
  • Stakeholder & Customer Engagement: Work closely with DoD stakeholders, industry partners, and government agencies to align system capabilities with operational requirements.
  • Cross-Functional Collaboration: Partner with hardware, autonomy, software, propulsion, and flight operations teams to drive seamless system integration and rapid development cycles.
Required Qualifications:
  • 10+ years of experience in systems engineering for aerospace, defense, or autonomous aircraft systems.
  • Demonstrated experience defining system behavior logic and operational modes
  • Deep expertise in system architecture, avionics integration, and autonomy-driven flight systems.
  • Proficiency in MBSE, DOORS, SysML, CAMEO, or similar system modeling tools for complex systems design and analysis.
  • Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms.
  • Strong background in flight testing, system integration, and performance validation.
  • Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards.
  • Demonstrated ability to lead cross-functional teams and drive complex projects to successful completion.
  • Ability to work in a fast-paced, agile development environment with shifting priorities.
  • Worked on developmental program from clean sheet to first flight
 
Preferred Qualifications:
  • Experience developing AI-driven autonomy for unmanned aircraft.
  • Expertise in ISR, EW, and advanced sensor integration for airborne platforms.
  • Familiarity with modular open system architectures (MOSA) and Government Reference Architectures (GRA) for defense applications.
  • Prior experience working with defense primes, DoD stakeholders, or government R&D programs.
  • Active Secret or Top Secret clearance (or ability to obtain one).
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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. 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.