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Senior Reliability and Maintainability Engineer (R5301)

Shield AI·Dallas, Texas·via Lever

Posted by Shield AI on 9 July 2026, 93 days ago. Still on their Lever board when we checked 1 min ago.

Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationDallas, Texas
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-07-09
Found vialever, direct from their system

We saw it 3 months after it went up.

The posting, as the company wrote it
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and 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: The Reliability and Maintainability Engineer is a senior-level individual contributor responsible for driving investigation, root cause analysis, corrective action, and reliability improvement for V-BAT field failures, repeat defects, and complex technical issues requiring deeper engineering analysis.This role owns the technical investigation path for fielded V-BAT issues by using logs, returned hardware, test data, maintenance records, operational context, configuration data, and fleet trends to determine failure modes, root causes, contributing factors, and corrective actions. The Reliability and Maintainability Engineer partners closely with Fleet Support Engineering, Product Engineering, Quality, Manufacturing, Reliability Data Engineering, Supply Chain, and Operations to ensure field failures are understood, contained, corrected, and prevented from recurring.This role is accountable for translating field issues into structured technical investigations, verified corrective actions, reliability improvements, maintainability improvements, and clear product health insights that improve fleet readiness, customer support, and long-term system performance.

Copied from Shield AI’s own board, not rewritten. Original ↗

Also open at Shield AI

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