Staff Field Solutions Engineer (R5343)
Shield AI is hiring a Hivemind Field Solutions Engineer to support technical sales, customer engagements, demonstrations, and capture activities for Hivemind across the Americas region.
This role will serve as a customer-facing technical expert for Hivemind, helping translate customer mission needs into credible, technically feasible solutions. The FSE will partner closely with Business Development, Product, Engineering, Customer Engagement, and Program teams to support demos, technical interchange meetings, RFIs, RFPs, white papers, and customer-specific solution development.
This position requires a strong technical foundation in autonomy, mission software, simulation, and AI-enabled systems. The ideal candidate will bring direct experience with Department of War simulation environments, live-virtual-constructive training and test ecosystems, synthetic environments, image-generation systems, and/or synthetic data workflows. This person should be comfortable explaining complex technical systems to customers, shaping demos around mission objectives, and feeding customer insights back into product and engineering teams.
The Field Solutions Engineering team acts as a BD force multiplier, bridging Shield AI’s technical roadmap to customer needs and ensuring customer-facing solutions are accurate, feasible, and mission-relevant.
- 7+ years of experience in solutions engineering, field applications engineering, systems engineering, technical sales, autonomy, robotics, simulation, defense software, or related technical customer-facing roles.
- Strong technical understanding of autonomy, AI-enabled systems, mission software, simulation environments, or complex defense technology systems.
- Experience supporting customer-facing technical engagements such as demos, technical briefings, proposal support, integration discussions, or technical interchange meetings.
- Demonstrated experience with one or more of the following areas: Department of War simulation systems, live-virtual-constructive environments, synthetic training environments, synthetic data generation, image-generation systems, simulation-based test and evaluation, or mission rehearsal workflows.
- Ability to translate customer mission needs into technically feasible solution concepts, requirements, demos, and product feedback.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to technical, operational, BD, and leadership audiences.
- Ability to work cross-functionally with Business Development, Product Management, Engineering, Customer Engagement, and Program teams.
- Strong judgment in representing product capabilities, limitations, and roadmap dependencies to customers.
- Ability to manage ambiguity, prioritize competing demands, and execute in a fast-paced environment.
- Willingness and ability to travel for customer engagements, demonstrations, exercises, and internal meetings.
- Ability to obtain and maintain a U.S. security clearance.
- Direct experience supporting Department of War simulation, modeling and simulation, test and evaluation, training, experimentation, or mission rehearsal programs.
- Experience with LVC architectures, simulation interoperability, synthetic environments, constructive entities, digital twins, or operational test environments.
- Experience with image-generation systems, synthetic imagery, AI-generated training data, computer vision datasets, sensor simulation, or perception model evaluation.
- Hands-on experience with Python, Linux, APIs, SDKs, simulation tooling, autonomy software, robotics middleware, or technical prototyping.
- Familiarity with autonomy development workflows, including simulation-in-the-loop, hardware-in-the-loop, software-in-the-loop, mission rehearsal, test automation, or scenario generation.
- Experience working with U.S. DoD customers, defense primes, government labs, test ranges, training organizations, or operational units.
- Experience supporting proposals, RFIs, RFPs, white papers, technical volumes, or capture activities.
- Prior military, defense, aerospace, robotics, or advanced simulation experience.
- Active U.S. security clearance.
- How much does the Staff Field Solutions Engineer (R5343) at Shield AI pay?
- The posting lists a range of $180K–$270K per year. Ranges reflect what Shield AI publicly declared on the source posting.
- Where is this Staff Field Solutions Engineer (R5343) role based?
- The role is based in Washington, DC.
- What experience does Shield AI expect for this role?
- The posting is tagged as a lead-level role, typically 7+ years of experience. Check the requirements section for specifics.
- Where is Shield AI headquartered?
- Shield AI is headquartered in San Diego, USA.
- How was this posting sourced?
- This role was pulled directly from Shield AI's Lever careers site. Apply links open in the employer's own ATS — no reposts or aggregator middleware.
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