As a Field Solutions Engineer for Hivemind, you will serve as a technical expert, supporting customer engagements and translating mission needs into feasible autonomy solutions across the EURAF region.
Staff Field Solutions Engineer (5643)
📜 Description
- Serve as a customer-facing technical expert for Shield AI and Aechelon simulation, synthetic environment, and AI-enabled mission system capabilities across Europe.
- Support customer discovery, technical briefings, demonstrations, technical interchange meetings, RFIs, RFPs, proposals, white papers, and capture activities.
- Translate customer mission needs, training objectives, test requirements, CONOPs, and integration considerations into credible solution concepts.
- Support engagements involving European, NATO, and allied defense simulation, training, test, and evaluation environments.
- Explain image generation systems, synthetic environments, threat models, LVC architectures, sensor simulation, scenario generation, and AI-enabled synthetic agents to various audiences.
- Partner with cross-functional teams to represent customer requirements and provide technical feedback.
🛠️ Requirements
- Experience supporting defense simulation, training, test, or experimentation customers in Spain, Europe, NATO, or allied markets.
- Experience working with ministries of defense, armed forces, government laboratories, defense primes, systems integrators, training organizations, or test organizations.
- Professional fluency in Spanish or another European language.
- Experience with AI-enabled synthetic agents, computer-generated forces, adversary behavior models, automated scenario generation, or AI-driven entity behavior in simulated environments.
- Real-world autonomy experience, including autonomous aircraft, unmanned systems, robotics, AI-enabled mission systems, or autonomy software.
- Familiarity with LVC architectures, simulation interoperability, DIS/HLA, test infrastructure, training range integration, or distributed simulation environments.
- Hands-on experience with Python, C++, Linux, APIs, SDKs, simulation tooling, visualization systems, autonomy software, robotics middleware, or technical prototyping.
- Prior military, defense, aerospace, simulation, test, training, robotics, unmanned systems, or advanced software experience.
- Experience supporting proposals, RFIs, RFPs, white papers, technical volumes, or complex international capture activities.
✨ Benefits
- Help build the defining defence technology company of this century.
- Work at the forefront of AI, autonomy, and next-generation defence systems.
- Operate in a highly entrepreneurial and mission-driven environment.
- Make a direct impact on international growth and strategic defence partnerships.
- Collaborate with exceptional teams solving some of the world’s most complex operational challenges.
Full job description
Shield AI is hiring a Field Solutions Engineer based in Madrid, Spain 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 defense simulation, training, test, and evaluation customers across Europe, helping them understand how Shield AI and Aechelon capabilities can support training systems, 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, training, and test environments. The ideal candidate should understand image generation systems, platform-in-a-box solutions, threat models, constructive entities, sensor simulation, scenario generation, and LVC architectures, and how these technologies integrate into complex distributed simulation ecosystems.
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 combined with strong customer-facing technical communication.
What you'll do:
Required qualifications:
Preferred qualifications:
Why join Shield AI
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