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Staff Field Solutions Engineer (R5644)
Posted by Shield AI on 8 September 2026, 31 days ago. Still on their Lever board when we checked just now.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationMelbourne
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-08
Found vialever, direct from their system
We saw it 1 month 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:
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.
Copied from Shield AI’s own board, not rewritten. Original ↗
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