Quality Engineer (R3101) at Shield AI

Dallas, Texas, United States

Shield AI Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Defense, Aerospace, TechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree in a STEM field, with a minimum of 3-5 years of experience in Root Cause Corrective Action (RCCA) and Corrective Action Preventive Action (CAPA), 3-5+ years of experience developing PFMEA, Control Plans, and/or Inspection Plans, and 3-5+ years of experience supporting and working with a Quality Management System (QMS). They should also have 3-5+ years of experience interpreting engineering drawings, blueprints, schematics, and specifications.

Responsibilities

The Quality Engineer will own the overall quality management of a V-BAT aircraft module, overseeing New Product Introduction (NPI), Supplier Quality, and Product Quality processes; serve as the systems expert for Shield AI’s Quality Management System (QMS), ensuring effective execution; drive continuous improvement by defining, updating, and streamlining essential quality documentation and activities; collaborate closely with design and manufacturing teams to support the design development process; provide expertise in quality assurance, process optimization, risk assessment and management, and strategies for verification, validation, and capability qualification; identify and integrate industry standards to ensure the successful delivery of the V-BAT aircraft; develop and evaluate inspection and testing methods, tools, and equipment to uphold product integrity; conduct assessments to determine accountability and cost implications for products, materials, or processes that deviate from established standards and specifications; review and refine quality systems to identify gaps, implement corrective actions, and ensure consistent adherence to reliable standards; manage non-conformance processes, including providing material review dispositions; lead Root Cause Analysis (RCA) investigations to identify underlying issues, implement effective corrective actions, and prevent recurrence.

Skills

QMS
NPI
Supplier Quality
Product Quality
Risk Assessment
Risk Management
Verification
Validation
Process Optimization
Quality Assurance
Inspection Methods
Testing Methods

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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