Program Planning Engineering Intern - 2026 Summer Intern (R4106) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Aerospace, Defense, Deep TechIndustries

Requirements

Facility planning fundamentals: material flow mapping, basic layout trade-offs
Capacity modeling in spreadsheets: pivots, scenario analysis, goal seek, clear metric definitions & assumptions
Risk management basics: building/maintaining a risk & long-lead register with triggers, owners, and mitigations
Stakeholder interviewing & synthesis

Responsibilities

Consolidate inputs across MFG, Test, EHS, Quality, and Supply Chain
Map material flow and adjacencies
Draft good/better/best layout options with clear assumptions
Create a lightweight capacity model tied to headcount/shift scenarios
Stand up a risk & long-lead tracker (permits, utilities, critical equipment)
Create a simple readiness dashboard (e.g., layout option maturity, long-lead exposure, decision latency)
Produce a concise Gate Pre-Read (charter, options, risks, metrics, and recommended decisions)
Deliver intermediate milestones: Wk2—Discovery & Charter v0.5; Wk4—Material-flow map + “good/better/best” layout options v0.5; Wk6—Capacity+takt model v0.8 + risk/long-lead tracker v0.8 + readiness dashboard prototype; Wk8—Integrated v0.9 set after pilot feedback
Deliver final (Wk10): Facility Design Readiness Packet & Gate Pre-Read (slides + appendix) including Charter v1.0, three annotated layout options with assumptions/tradeoffs, capacity model with 2–3 demand/shift scenarios, risk & long-lead register with owners/dates, readiness dashboard v1.0, and a handoff README/backlog

Skills

Facility Design

Manufacturing Planning

Material Flow Mapping

Layout Design

Capacity Modeling

Risk Tracking

Supply Chain Coordination

EHS

Quality Assurance

Dashboard Creation

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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