Fuel Systems Engineer (R3300) (X-BAT)

shieldai
Dallas, Texas
On-site
Full-time
USD 142318-213476 per-year-salary
Posted 5 months ago
Aircraft Division

Job Description

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube
Job Description:
Shield AI is seeking a Staff Fuel Systems Engineer to design, analyze, and integrate fuel systems for our next-generation autonomous aircraft. You’ll help develop innovative fuel storage, transfer, and distribution systems that improve endurance, efficiency, and reliability in challenging operational environments.

This role is ideal for an engineer eager to take ownership of complex subsystems, collaborate across disciplines, and grow into a technical leader working at the intersection of autonomy, flight science, and fluid systems.

Required qualifications:

  • 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.
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Requirements

Required qualifications:

  • 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.

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