Aerostructures Design Engineer II (R5157)

🏢 Shield AI · 📍 Seattle, Washington · 💼 onsite · ⏰ Full Time Employee 💰 $108,000 - $160,000 / yr

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Position Summary & Responsibilities

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:

Shield AI is seeking an Aerostructures Design Engineer II to support the development of structural components for our next-generation autonomous aircraft. As a key contributor on the Mechanical Engineering team, you will design and develop high-performance structural components from concept through production release.

You’ll work cross-functionally to ensure structural integrity, manufacturability, and system integration across one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an aerospace mechanical engineer who thrives in hands-on design environments and is eager to take increasing ownership of flight-critical designs.

🎯 Candidate Preparation Guide For Shield AI Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Testing raw first-principles engineering capability, intense mission-alignment with national defense, and high tolerance for high-stakes failure.

📋 Preparation Priorities (Key Areas to Clarify):

1. Academic or theoretical bias with no appreciation for hardware-in-the-loop and edge-computing constraints.
2. Lack of genuine conviction regarding the national security mission.
3. Defensiveness when receiving intense, direct technical critique from interviewers.

✨ Recommended Role Alignment Hook:

I apply first-principles engineering to build robust, edge-computed AI systems designed to operate flawlessly in contested, high-stakes environments.

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