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Shield AI

Robot type
Drone · Defense
Location
DallasTexasUSA
Job type
Hardware
Posted
Aug 26, 2026
Salary
$140,000–$210,000 a year
Full-time

Staff Engineer, System Reliability (R5533)

Job description

Shield AI — Staff Engineer, System Reliability (R5533) (Dallas, Texas).

Job responsibilities

  • Build and maintain the V-BAT system reliability model, predicting system-level failure rate using failure-rate data from the field and industry sources.
  • Create and maintain the V-BAT system fault tree, identifying single points of failure and quantifying their contribution to overall system reliability.
  • Inform design decisions that eliminate single points of failure and improve the reliability of the system, providing Design-for-Reliability (DfR) guidance in design reviews.
  • Partner with Design, Fleet Support, Quality, and Manufacturing Engineers on root cause investigations for field failures, and drive corrective and preventive actions to closure.
  • Drive reliability test campaigns in production and sustainment to verify the system is meeting its reliability requirements and predictions, feeding results back into the model.
  • Drive production reliability screening campaigns to reduce infant-mortality failures, such as HASS (Highly Accelerated Stress Screening) and ESS (Environmental Stress Screening).
  • Establish and track reliability metrics — MTBF, failure-rate trends, and reliability growth — and communicate reliability status and risk posture to program leadership.

Job requirements

  • B.S. in Engineering, Mathematics, or Statistics discipline.
  • Typically requires a minimum of 7 years of related experience in reliability or surety engineering in a high-consequence industry (defense, aerospace, automotive, or medical device).
  • Expertise in Fault Tree Analysis (FTA), Failure Modes, Effects, and Criticality Analysis (FMECA), and Mean Time Between Failure (MTBF) calculations.
  • Demonstrated ability to build reliability models from field and test data and translate them into actionable design and production decisions.
  • Experience with Reliability, Availability, and Maintainability (RAM) modeling and Weibull analysis.
  • Experience with reliability analysis software such as Relyence (or equivalent tools such as ReliaSoft/Weibull++, Windchill Risk & Reliability).
  • Familiarity with government standards for developing reliability and maintainability models, such as MIL-HDBK-217, 217Plus, and MIL-STD-756.
  • Experience implementing FRACAS (Failure Reporting, Analysis, and Corrective Action System) and supporting Failure Review Boards.

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