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Shield AI

Staff Field Solutions Engineer (R5644)

Melbourne

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hirly's read of this role

Seniority
Lead / management
Country
AU
Work mode
On-site / unstated
First seen by hirly
11 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 hiring a Hivemind Field Solutions Engineer based in Melbourne, Australia to support technical sales, customer engagements, demonstrations, and capture activities focused on advanced simulation, synthetic environments, image generation systems, and AI-enabled mission systems.

This role will support international defense simulation, training, test, and evaluation customers, with a focus on Australia, the Indo-Pacific, AUKUS, and allied defense partners. The Field Solutions Engineer will help customers understand how Shield AI and Aechelon capabilities can support next-generation synthetic battlespace environments, live-virtual-constructive ecosystems, and AI-enabled simulation use cases.

This role requires direct, hands-on experience with advanced defense simulation environments and related training, test, and evaluation ecosystems. The ideal candidate should understand image generation systems, platform-in-a-box solutions, threat models, constructive entities, sensor simulation, scenario generation, and LVC architectures.

This is a simulation-first role. Autonomy experience is valuable where AI or autonomy is used to run synthetic agents, generate behaviors, drive adversary models, automate scenarios, or improve realism in simulated environments. Real-world autonomy experience is preferred, but the primary requirement is deep simulation domain expertise and strong customer-facing technical communication.

Original posting on Shield AI's site ↗

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