ZipRecruiter

Log In

1

Internship Intelligent Systems Engineering Jobs (NOW HIRING)

Planned Systems International

$15.50 - $20/hr

This internship offers a hands-on opportunity to contribute to cutting-edge prototyping ... Embedded systems and programming (e.g., Arduino, STM32, ESP32) * Communication protocols (UART, SPI ...

Shield AI

Senior Engineer, Software Systems

Dallas, TX

$110K - $170K/yr

Systems Engineer 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 ...

Shield AI

Senior Engineer, Software Systems

Boston, MA

$110K - $170K/yr

Systems Engineer 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 ...

next page

Showing results 1-20

People also search for

All JobsIntelligent Systems Engineering JobsInternship Intelligent Systems Engineering Jobs

Internship Intelligent Systems Engineering information

See salary details

$11

$19

$29

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

As of Jun 4, 2026, the average hourly pay for internship intelligent systems engineering in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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.

More about Internship Intelligent Systems Engineering jobs
What cities are hiring for Internship Intelligent Systems Engineering jobs? Cities with the most Internship Intelligent Systems Engineering job openings:
What are the most commonly searched types of Intelligent Systems Engineering jobs? The most popular types of Intelligent Systems Engineering jobs are:
What states have the most Internship Intelligent Systems Engineering jobs? States with the most job openings for Internship Intelligent Systems Engineering jobs include:
What job categories do people searching Internship Intelligent Systems Engineering jobs look for? The top searched job categories for Internship Intelligent Systems Engineering jobs are:
Internship Intelligent Systems Engineering jobs near you
Infographic showing various Internship Intelligent Systems Engineering job openings in the United States as of May 2026, with employment types broken down into 24% Full Time, 68% Part Time, 7% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Principal Engineer, Systems (R5048)

Principal Engineer, Systems (R5048)

Shield AI

San Diego, CA • On-site

$200K - $300K/yr

Full-time

Posted 16 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:

Shield AI's Hivemind Platform organization is seeking a Principal Systems Engineer to lead and scale systems engineering excellence across our software-intensive, autonomy-driven platform. This role sits within the Systems Engineering, Integration, and Test (SEIT) organization and is responsible for advancing systems engineering discipline, rigor, and cross-functional alignment across the full lifecycle, from requirements definition through architecture, verification, and assurance.

This individual will play a critical role in shaping how complex autonomous system development capabilities are specified, architected, and validated, with a strong emphasis on model-based systems engineering (MBSE), requirements traceability, and integration of system assurance (including safety) into system design.

What You'll Do:
  • Systems Engineering Discipline Leadership: Drive the adoption and enforcement of systems engineering best practices across the organization, serving as a technical authority and trusted partner to engineering leadership.
  • Requirements Management & Traceability: Lead the development of structured, testable, and fully traceable system requirements, ensuring end-to-end linkage across architecture, verification, and implementation.
  • Architecture Definition: Define and maintain system architectures using MBSE methodologies and tools (e.g., Cameo), promoting model-centric engineering for system understanding and decision-making.
  • Verification & Validation Planning: Establish comprehensive, executable verification strategies aligned with system requirements and operational use cases, supporting integration and test efforts.
  • System Assurance Integration: Integrate system safety and security assurance considerations into requirements, architecture, and verification to support mission assurance and compliance objectives.
  • Cross-Functional Collaboration: Partner with software architects, product teams, test engineers, and engineering leadership to align system-level decisions/execution across the organization and bridge between SEIT and the broader engineering organization.
Key Outcomes:
  • End-to-End Requirements Traceability Established: System requirements are consistently structured, testable, and fully traceable across architecture, implementation, and verification artifacts.
  • MBSE Adoption at Scale: Model-based systems engineering is broadly adopted, with system architecture and interfaces defined and maintained in a shared, authoritative model.
  • System Assurance Integrated Early: System safety and assurance considerations are embedded in requirements and architecture upfront, reducing late-stage risk and rework.
  • Cross-Functional System Alignment Achieved: Software, product, and Integration & Test teams operate with a clear, shared understanding of system architecture, interfaces, and constraints.
  • Systems Engineering Rigor and Process Maturity Improved: Standardized processes, tools, and artifacts are in place and consistently used across teams, improving quality, predictability, and scalability.
Required Qualifications:
  • 15+ years in Systems Engineering, Architecture, or technical leadership roles
  • Experience in defense or aerospace, ideally with software-intensive unmanned aircraft systems (UAS)
  • Strong background in traceable requirements development, system architecture and interface definition, and V&V planning
  • Hands-on experience with MBSE tools (Cameo Systems Modeler or equivalent) and SysML
  • Proven ability to lead engineering discipline across teams and influence technical direction
  • Bachelor's degree in engineering or related field
Preferred Qualifications:
  • Experience integrating system safety and assurance practices into engineering workflows
  • Familiarity with certification standards such as MIL-HDBK-516C and CMMC/NIST SP 800-53
  • Advanced degree in engineering or related field
$200,000 - $300,000 a year
#LI-DM2
#LF

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. 
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.
apply for this job

Apply