Fuel Systems Engineer (R3300) at Shield AI

Dallas, Texas, United States

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

Requirements

  • B.S. or M.S. in Aerospace, Mechanical, or related engineering discipline
  • 4–7 years of experience in fuel or fluid systems design, analysis, or integration
  • Working knowledge of CFD and thermal/fluid simulation tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink)
  • Experience with pumps, valves, and sensors for fuel or hydraulic systems
  • Familiarity with aerospace environmental and certification standards (e.g., DO-160, MIL-STD-810)
  • Excellent communication and collaboration skills in fast-paced, cross-functional environments
  • U.S. Citizenship required
  • Preferred qualifications:
  • Experience supporting UAV, fighter, or propulsion system integration
  • Hands-on experience with prototype build, test, and troubleshooting
  • Familiarity with CATIA, NX, or SolidWorks for CAD design and modeling
  • Exposure to mission endurance optimization and energy management strategies

Responsibilities

  • Design and develop fuel storage, transfer, and venting systems to support high-performance, long-endurance UAVs
  • Perform fluid and thermal analysis to optimize flow efficiency, pressure regulation, and system mass
  • Support integration of fuel systems with propulsion, avionics, and thermal management teams
  • Conduct CFD simulations, bench-level testing, and validation of pumps, valves, sensors, and tanks
  • Generate design documentation, system schematics, and verification plans to support engineering reviews and flight test readiness
  • Assist in supplier coordination, component selection, and qualification testing
  • Troubleshoot fuel system issues during prototype builds and flight test campaigns
  • Contribute to the development of system architecture and help mature design standards across new programs

Skills

CFD
Fluid Analysis
Thermal Analysis
Fuel Systems
UAV Design
Pumps
Valves
Sensors
Tanks
System Integration
Aerospace Engineering
Propulsion Integration
Avionics Integration
Thermal Management
Supplier Coordination

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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