Inspector 3, Quality Engineering (R3967) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, DefenseIndustries

Requirements

High School Diploma or GED
Minimum of 1-3 years of experience in a Quality Inspector role within aerospace manufacturing or a related industry
Practical experience with various inspection techniques and equipment (DMM, calipers, micrometers, etc.)
Capable of performing inspections using assembly instructions and engineering drawings
Demonstrated ability to use precision measurement tools and calibrated equipment effectively
Strong technical and computer skills, with proficiency in Microsoft Office Suite (Word, Excel, PowerPoint)
Ability to communicate effectively, both orally and in writing, across various levels within the organization
Detail-oriented with a strong understanding of quality-centric practices and processes

Responsibilities

Ensure the assembly documentation is accurate and complete
Observe assembly, lay-up, and torque operations
Conduct dimensional inspections on both parts and assemblies
Examine raw materials, piece-parts, and final assemblies
Interpret specifications, drawings, tolerances, and additional requirements
Document inspection and test results through logs, graphs, reports, and local systems
Uphold maintenance of test and measurement equipment as well as calibration systems
Execute other tasks related to the position as directed by leadership

Skills

DMM

Calipers

Micrometers

Precision Measurement Tools

Dimensional Inspections

Engineering Drawings

Assembly Instructions

Torque Operations

Calibration Systems

Quality Inspection

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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