Staff Field Solutions Engineer (R5343)

Posted 10 Hours Ago
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Washington, DC, USA
In-Office
180K-270K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Our mission is to protect service members and civilians with intelligent systems.
The Role
Customer-facing technical lead for Hivemind autonomy supporting demos, capture, RFIs/RFPs, and solution development. Translate mission needs into feasible autonomy and simulation solutions, engage cross-functionally, support customers, and inform product and engineering with field insights. Frequent customer travel and ability to obtain U.S. security clearance required.
Summary Generated by Built In
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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 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.

Required qualifications:

  • 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.

Preferred qualifications:

  • 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.

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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

Skills Required

  • 7+ years experience in solutions engineering, field applications, systems engineering, technical sales, autonomy, robotics, simulation, defense software, or related customer-facing technical roles.
  • Strong technical understanding of autonomy, AI-enabled systems, mission software, simulation environments, or complex defense technology systems.
  • Experience supporting customer-facing technical engagements including demos, technical briefings, proposal support, integration discussions, or technical interchange meetings.
  • Demonstrated experience with 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 solutions, requirements, demos, and product feedback.
  • Strong written and verbal communication skills; able 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.

What the Team is Saying

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Shield AI Compensation & Benefits Highlights

  • Healthcare Strength Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
  • Retirement Support Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
  • Career-Linked Recognition & Rewards Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.

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The Company
HQ: San Diego, CA
Year Founded: 2015

What We Do

At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.

Why Work With Us

Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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