Staff Engineer, System Reliability (R5533)

Shield AI
Dallas
Workplace: OnsiteFull timeUSD 140,000 - 210,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 5+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Analytical thinking","Risk communication","Root cause investigation","Data-driven decision making"]

Own the V-BAT system reliability model and failure-prediction strategy by building and maintaining quantitative models from field data, industry sources, and test results. Develop and use fault-tree analyses to pinpoint single points of failure, provide Design-for-Reliability guidance, and partner with Design, Manufacturing, Quality, and Fleet Support to drive corrective actions. Lead reliability test and screening campaigns, track reliability metrics (e.g., MTBF, failure-rate trends), and communicate risk posture to program leadership.

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Shield AI
Shield AI
1 day ago

Staff Engineer, System Reliability (R5533)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own the V-BAT system reliability model and failure-prediction strategy by building and maintaining quantitative models from field data, industry sources, and test results. Develop and use fault-tree analyses to pinpoint single points of failure, provide Design-for-Reliability guidance, and partner with Design, Manufacturing, Quality, and Fleet Support to drive corrective actions. Lead reliability test and screening campaigns, track reliability metrics (e.g., MTBF, failure-rate trends), and communicate risk posture to program leadership.
Location: Dallas
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Build and maintain the V-BAT system reliability model to predict system-level failure rate using field and industry data.
  • •Create and maintain the V-BAT system fault tree, quantifying single points of failure’ contribution to overall reliability.
  • •Provide Design-for-Reliability (DfR) guidance in design reviews to eliminate single points of failure and improve system reliability.
  • •Partner with Design, Fleet Support, Quality, and Manufacturing on root cause investigations for field failures and drive corrective and preventive actions to closure.
  • •Drive reliability test and production/sustainment screening campaigns, track reliability metrics (MTBF and failure-rate trends), and communicate reliability status and risk posture to program leadership.

Pay and Benefits

Salary: USD 140,000 - 210,000 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •Experience with Reliability, Availability, and Maintainability (RAM) modeling and Weibull analysis.
  • •Experience with reliability analysis software such as Relyence (or tools such as ReliaSoft/Weibull++, Windchill Risk & Reliability).
  • •Familiarity with government standards for reliability and maintainability modeling 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.
  • •B.S. in Engineering, Mathematics, or Statistics; 5+ years in reliability or surety engineering in a high-consequence industry (defense, aerospace, automotive, or medical device).
Experience:5+ yearsDefenseAerospaceUnmanned aircraftMission-critical hardwareSurety engineeringHigh-consequence industries
Education:Bachelor's in Engineering, Mathematics, or Statistics
Skills:Cross-functional collaborationAnalytical thinkingRisk communicationRoot cause investigationData-driven decision making
Certifications:CREASQ Certified Reliability Engineer
Tech Stack:WeibullRelyenceReliaSoftWeibull++Windchill Risk & ReliabilityFRACASFault Tree Analysis (FTA)FMECAMTBFMIL-HDBK-217MIL-HDBK-217PlusMIL-STD-756

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn