Shield AIでは、自律型兵器システムの技術戦略を主導するシニアスタッフソフトウェアエンジニアを募集しています。10年以上の経験と、C++およびLinuxシステム開発における専門知識が必須です。マルチエージェント自律アーキテクチャの設計、複雑な統合課題の解決、およびエンジニアリングチームの技術的リーダーシップを担います。国防分野のミッションクリティカルな自律システムを構築する重要な役割です。
Washington, DC / San Diego, California / Boston, MA / Dallas, Texas Hivemind Solutions Division – Flight System Integration / Full Time Employee / On-site
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.
The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.
In this role, you'll define the technical direction for the Launched Effects portfolio, driving the evolution of autonomy architecture across multiple programs while ensuring scalable, mission-ready solutions for fleet-scale operations. You'll solve the organization's most complex integration challenges, influence long-term technical strategy, and partner with engineering leadership, the Autonomy Capabilities and Perception teams, autopilot vendors, C2 providers, and customer stakeholders to deliver autonomy capabilities that perform reliably in operational environments.
Technical Strategy & Portfolio Leadership – Define the long-term technical direction for the Launched Effects portfolio; drive common integration patterns, architecture, and engineering strategy that enable scalable fleet operations across current and future programs.
Develop & Field Autonomy – Guide the development and integration of mission autonomy, platform interfaces, executive autonomy, multi-agent coordination, and fleet-scale deployment capabilities while ensuring successful operational delivery across launched effects programs.
Collaboration Across Teams & Partners – Build strong technical partnerships across the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers, customer organizations, and engineering leadership; influence architecture and technical direction beyond the portfolio.
Design & Documentation – Lead cross-functional architecture reviews, interface standards, ICDs, and post-mortems while raising engineering rigor and technical consistency across multiple organizations.
Mentorship & Organizational Growth – Mentor Staff and Senior engineers, develop future technical leaders, contribute to engineering standards and leveling, and partner with managers on senior hiring.
Pre-deployment Preparation – Guide Capability Release planning, fleet-scale deployment strategies, mission validation, and operational readiness across multiple programs.
On-site Test & Mission Support – Provide senior technical leadership during critical flight tests, customer demonstrations, and operational exercises where deep systems integration expertise is required.
Hardware/Software Debugging – Lead resolution of the organization's most complex autonomy integration challenges spanning software, embedded systems, networking, platform interfaces, and operational environments.
Mission Data & Debrief Support – Drive post-mission analysis, identify systemic improvements, and influence long-term technical investments based on operational learnings.
Continuous Improvement – Drive organization-wide improvements to engineering processes, testing infrastructure, integration workflows, developer experience, and mission reliability.
C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability; shape interface evolution with internal and external stakeholders while driving adoption of common message and open-systems standards (e.g., UCI, OMS, MOSA, WOSA, TAK/CoT).
Hiring & Developing Technical Talent – Define the technical hiring bar for senior engineering roles, partner with engineering managers on long-term staffing strategy, and help grow the organization's technical capabilities.
Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.
BS/MS in a relevant engineering discipline or equivalent practical experience.
Typically requires 10+ years of relevant experience.
Expert-level C++ and Linux systems development experience.
Demonstrated experience defining technical strategy across multiple engineering teams or programs.
Proven track record influencing architecture and solving highly complex autonomy integration challenges.
Experience mentoring senior engineers and driving engineering excellence across an organization.
Ability to obtain a SECRET clearance.
Extensive experience with launched effects, autonomous systems, or distributed robotic platforms.
Experience defining autopilot integration strategies and multi-agent autonomy architectures.
Experience leading fleet-scale or disconnected operational deployments.
Experience with military operational testing and international defense customers.
Experience with UCI, OMS, MOSA, WOSA, TAK/CoT, or similar open architectures.
Experience shaping engineering practices across multiple teams or organizations.
$233,760 - $350,640 a year
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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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
