Senior Reliability Engineer, UAV Systems

F7d8749a; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI is seeking a Reliability Modeling Engineer to own the reliability model and failure-prediction strategy for the V-BAT unmanned aircraft system.

In this role you will build the quantitative backbone that predicts how the system fails, why it fails, and how to design those failures out — translating field data, industry sources, and test results into models that directly inform design, production, and sustainment decisions.

Qualifications

• B.S. in Engineering, Mathematics, or Statistics.
• 7+ years in reliability or surety engineering in defense/aerospace/related field.
• Experience building models from field/test data for design decisions.

Responsibilities

• Build and maintain V-BAT reliability model using field data and industry sources.
• Create fault tree and quantify contributions to reliability.
• Inform design decisions with DF(R) guidance in reviews.
• Partner across Design, Fleet Support, Quality and Manufacturing on root causes.
• Drive reliability test campaigns in production to verify predictions.
• Lead reliability screening campaigns to reduce infant-mortality failures.
• Track MTBF, failure-rate trends, and reliability growth for leadership.

Skills

Reliability modeling

FMECA

MTBF calculations

Fault Tree Analysis

RAM modeling

Weibull analysis

DfR guidance

Education

B.S. in Engineering, Mathematics, or Statistics

Tools

Relyence

ReliaSoft

Weibull++

Windchill Risk & Reliability

Job description

Shield AI is seeking a Reliability Modeling Engineer to own the reliability model and failure-prediction strategy for the V-BAT unmanned aircraft system.

In this role you will build the quantitative backbone that predicts how the system fails, why it fails, and how to design those failures out — translating field data, industry sources, and test results into models that directly inform design, production, and sustainment decisions.