Senior Staff Propulsion Design Engineer (R3300) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, DefenseIndustries

Requirements

B.S. or M.S. in Mechanical, Aerospace, or related engineering discipline
7–10+ years of experience in mechanical design, preferably with aerospace propulsion or fluid systems
Advanced proficiency in CAD (NX preferred), GD&T, and complex assembly modeling
Strong understanding of design-for-manufacturing principles, tolerance analysis, and structural integration
Hands-on experience supporting prototype builds, resolving non-conformances, and executing design improvements
Demonstrated experience with analysis tools (e.g., ANSYS, GFSSP, REFPROP, FEA)
Proven ability to lead cross-functional efforts and mentor junior engineers
U.S. Citizenship or ability to comply with ITAR requirements
Preferred qualifications
Background in low-bypass turbofan or UAV propulsion systems
Experience with thermal, structural, and fluid system design for high-performance aircraft
Familiarity with supplier management, configuration control, and PLM systems (Teamcenter)
Master’s or Ph.D. in Mechanical or Aerospace Engineering
Strong communication and leadership skills with a track record of delivering complex aerospace systems from concept to flight

Responsibilities

Lead the design, analysis, and integration of propulsion system components and subsystems
Drive the development of CAD models, assemblies, and fully dimensioned drawings with GD&T in Siemens NX
Define propulsion system interfaces, tolerances, and load paths in collaboration with structures, propulsion, and systems teams
Conduct and review analyses—thermal, structural, and fluid flow—to validate designs and guide decision-making
Support ground and flight test operations, including build support, anomaly resolution, and test data correlation
Oversee supplier collaboration, design reviews, and manufacturing readiness for critical components
Develop and enforce design standards, configuration control, and documentation best practices
Mentor junior engineers and contribute to the maturation of propulsion design processes and methodologies

Skills

Siemens NX

GD&T

CAD

Thermal Analysis

Structural Analysis

Fluid Flow Analysis

Propulsion Systems

UAV Design

Systems Integration

Manufacturing Readiness

Test Operations

Supplier Management

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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