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Internship Intelligent Systems Engineering Jobs in California

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

... intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and ... Ensure requirements are actionable by engineering teams and testable through defined metrics and ...

... generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial ... In this role, you will work closely with engineering leadership and cross-functional teams to ...

... intelligent systems. For more than four decades, the company has been an innovator and pioneer ... Relevant experience, including internships, co-ops, or academic project work. * Knowledge of ...

System Architect

Santa Monica, CA · On-site

$140 - $160/hr

... generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial ... In this role, you will work closely with engineering leadership and cross-functional teams to ...

System Architect

Santa Monica, CA · On-site

$140K - $160K/yr

... generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial ... In this role, you will work closely with engineering leadership and cross-functional teams to ...

Showing results 41-60

Internship Intelligent Systems Engineering information

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 are the most commonly searched types of Intelligent Systems Engineering jobs in California?

The most popular types of Intelligent Systems Engineering jobs in California are:

What are popular job titles related to Internship Intelligent Systems Engineering jobs in California?

For Internship Intelligent Systems Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Intelligent Systems Engineering jobs in California look for?

The top searched job categories for Internship Intelligent Systems Engineering jobs in California are:

Senior Staff Engineer, GCS / Communications Systems (R5020)

Shield AI

San Diego, CA • On-site

$170K - $250K/yr

Full-time

Re-posted 29 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 a GCS / Communications Systems Engineer to lead the development, integration, and validation of ground control station and communication architectures supporting advanced military aircraft and autonomous systems. This role directly impacts mission effectiveness, command and control reliability, platform connectivity, and operational resiliency by ensuring robust communication between air, ground, and distributed mission systems.

The engineer will define system behaviors, operational workflows, and communication architectures across the full lifecycle, from concept development through flight and operational test. This role plays a critical part in reducing integration risk, improving network resiliency, and accelerating deployment of mission-critical communication capabilities.

What you'll do:
  • Define GCS and communication system behaviors, operational workflows, and activity diagrams to ensure reliable command, control, telemetry, payload, and mission data exchange
  • Develop and integrate communication architectures including RF links, SATCOM, LOS/BLOS datalinks, networking infrastructure, antennas, encryption devices, and mission control interfaces
  • Lead cross-functional integration between avionics, mission systems, networking, cybersecurity, software, and test teams to improve system interoperability and reduce integration risk
  • Develop and validate interface definitions, network architectures, link budgets, and communication performance requirements for airborne and ground-based systems
  • Support lab, field, and flight test activities to troubleshoot communication issues, validate network performance, and improve operational resiliency and mission readiness
Required qualifications:
  • Bachelor's degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, Computer Engineering, or related technical field
  • 5+ years of experience in communications systems, networking, mission systems, or military aerospace integration
  • Experience with GCS architectures, datalinks, RF systems, networking, or airborne communication systems
  • Familiarity with LOS/BLOS communications, SATCOM, IP networking, encryption technologies, and hardware/software integration environments
  • Strong systems engineering, troubleshooting, and cross-functional communication skills
  • Ability to obtain a S//SAR level security clearance desired.
Preferred qualifications:
  • Experience supporting UAV, fighter aircraft, autonomous systems, or military communication networks
  • Experience defining operational behaviors, activity diagrams, CONOPS, or system architectures using MBSE tools such as Cameo Systems Modeler
  • Background in integration labs, flight test, network resiliency, or tactical communication systems
  • Familiarity with cybersecurity, RMF, resilient communications, and contested environment operations
  • Active Secret or Top Secret clearance preferred
$170,000 - $250,000 a year
#LI-AD6
#LE
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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