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Salary
$220k – $340k per year
Location
In office (Dallas)
Seniority
Architect · 10+ years exp
Visa
H-1B filings in 12 months: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 5, 2026. Shield AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Shield AI is an American defence technology company founded in 2015 that builds autonomy software and uncrewed aircraft for military missions. Its Hivemind autonomy stack lets aircraft fly, navigate and complete objectives without GPS, a remote pilot or a communications link, which matters in contested environments where those links are jammed. Headquartered in San Diego, California, the company fields the V-BAT vertical take-off aircraft with United States and allied forces, licenses Hivemind to other manufacturers and is developing the X-BAT jet for high-end missions.

Job Description:

We are seeking a hands-on engineering leader to direct multiple teams spanning electrical design engineering, avionics root cause analysis, and avionics build/test operations. In this role, you will own the technical health and reliability of the avionics systems powering the V-BAT platform - leading the people, processes, and designs that take issues from field observation through root cause resolution and durable design improvement. You will operate at the intersection of design, manufacturing, quality, and fleet support, and you will be measured by the reliability, performance, and manufacturability of what your teams deliver.

What you'll do:

  • Lead and grow the team. Mentor and develop a multidisciplinary organization of electrical design engineers, root cause analysis engineers, and avionics build/test technicians, building career paths and technical depth across all three disciplines.
  • Set direction and drive execution. Establish team priorities, allocate resources against competing demands, and drive execution while fostering a culture of technical excellence, ownership, and continuous improvement.
  • Stay technical. Actively contribute to design development and reviews, hands-on root cause analysis, and the definition and validation of corrective actions - leading by technical example, not just management.
  • Own investigations end to end. Lead cross-functional failure investigations, establish and verify corrective and preventive actions, and build tooling and infrastructure that accelerate debugging, test, and issue resolution.
  • Improve system reliability. Drive coordination across Supply Chain, Reliability, Manufacturing, Quality, and Fleet Support to implement the processes and design changes that measurably increase the reliability and availability of the V-BAT system.
  • Build the standard. Establish the standards, review cadences, and metrics (e.g., reliability growth, escape rates, time-to-resolution) that make technical quality repeatable and scalable as the program grows.

Required qualifications:

  • B.S. in Electrical Engineering or an equivalent technical field.
  • 10+ years of experience, including demonstrated success leading and growing teams of electrical engineers.
  • Proven track record of building and scaling high-performing technical teams.
  • Experience working cross-functionally across design, supply chain, manufacturing, quality, and fleet/field support.
  • Proven ability to plan and execute complex electronic and electrical designs in a high-consequence industry (defense, aerospace, automotive, or medical device).
  • Demonstrated ability to thrive in a fast-paced, high-ownership development environment with rapidly evolving priorities.

Preferred qualifications:

  • M.S. or Ph.D. in Electrical Engineering.
  • Experience with structured problem-solving and failure analysis methods such as fault tree analysis, fishbone/Ishikawa diagrams, FMEA/FMECA, 8D, or similar.
  • Ownership of full product development lifecycles - from concept through release, production ramp, customer sustainment, and product retirement.
  • Experience in UAV/UAS design or other autonomous or unmanned systems.
  • Familiarity with reliability engineering practices (reliability growth modeling, MTBF/MTBUR analysis, accelerated life testing).
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