Role details
Job description
Job Description:
What you'll do
- 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.
Required qualifications
- B.S. in Engineering, Mathematics, or Statistics discipline.
- 5+ years of 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.
Preferred qualifications
- 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.
- CRE (ASQ Certified Reliability Engineer) certification.
- Experience with unmanned aircraft, aerospace, or other mission-critical hardware systems.
Role context
This Staff Engineer, System Reliability (R5533) role at Shield AI sits in the engineering track within defense and autonomy. The position is tied to Dallas, Texas, United States and is posted within the last 17 days, which signals active hiring intent rather than archived demand. Compensation is not disclosed in the source listing, so candidates should verify range details directly with the employer. Combined with the live company and role links on this page, this listing gives candidates a direct path to compare equivalent openings by employer, market, and role focus.
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Location
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Dallas, Texas, United States
Location
Dallas, Texas, United States
Approximate role location based on the employer listing.
Dallas, Texas, United States
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