Flight Test Engineering Intern - 2026 Summer Intern at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Aerospace, Defense, Deep TechIndustries

Requirements

Introductory knowledge on LLMs
Introductory knowledge on aviation
Introductory knowledge on engineering communication

Responsibilities

Develop an LLM-based project reporting generator using the SAI Flight Test Report template to create an easy way for flight test team members to submit results and generate formal test reports from data in Teams channels and Confluence
Create a quick and usable tool for the flight test team to generate accurate, informative, and presentable flight test reports that provide value to customers and aid in securing contracts
Train flight test personnel on using the tool and identify opportunities to apply it in other areas within the company
Provide weekly status updates with verifiable progress and demonstrations to the team
Deliver a final product that allows easy and quick report building by the flight test team with minimal engineer input required before submission

Skills

Key technologies and capabilities for this role

Flight TestingLLMReport GenerationMicrosoft TeamsConfluenceITARCUI

Questions & Answers

Common questions about this position

Is this internship paid?

Yes, the 10-week summer internship program is paid.

What is the duration of the internship?

The internship is a 10-week program for the 2026 Summer.

What skills or experiences are needed for this Flight Test Engineering Intern role?

The role involves working on an LLM-based project for generating flight test reports, suggesting skills in AI, large language models, software development, and familiarity with flight testing processes. It is targeted at Fall 2026 and Spring 2027 graduates.

What is the company culture like for interns at Shield AI?

The internship offers immersion in an innovative and mission-driven culture, with hands-on mentorship, real contributions to projects, company-sponsored events, networking opportunities, and a high-growth, fast-scaling tech environment.

What are the project goals for this internship?

The goals are to create a quick and usable way for the flight test team to generate accurate flight test reports using an LLM-based tool and to train personnel on its use, potentially scaling to other functions.

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters

2015Year Founded

$772.8MTotal Funding

DEBTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors

Risks

Increased competition from companies like Waymo could divert investment from Shield AI.

Geopolitical tensions may challenge the JSW Defence partnership for V-BAT production in India.

Dependency on Palantir's infrastructure may limit Shield AI's operational flexibility.

Differentiation

Shield AI's Hivemind is the first autonomous AI pilot deployed in combat since 2018.

Strategic partnerships with Palantir and JSW Defence enhance technological capabilities and market reach.

Shield AI's V-BAT drone is selected for a $198 million U.S. Coast Guard contract.

Upsides

Increased demand for autonomous systems in defense boosts Shield AI's market potential.

Successful multi-aircraft autonomous flight tests showcase advanced AI piloting capabilities.

Significant investment in robotics indicates a robust market for Shield AI's offerings.

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