SECTION I · THE BRIEF
Brief #42351Updated 21 JUL 2026WASHINGTON, DCLeverSOFTWARE COMPANIES
Employbl Company Profile

Senior Staff Software Engineer, Autonomous Pilot Integration – Expeditionary (R5193)

Shield AI, Inc. operates as an artificial intelligence robotics company. The Company protects service members and innocent civilians with artificially intelligent systems which enables robots to see, reason about, and…

Location
Washington, DC
Company size
500–1,000
Posted
Today
Via
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Senior Staff Software Engineer, Autonomous Pilot Integration – Expeditionary (R5193) · Shield AI

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Job title
Senior Staff Software Engineer, Autonomous Pilot Integration – Expeditionary (R5193)
Job location
Washington, DC
Job description
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 expeditionary platforms builds autonomy solutions for V-BAT — an unmanned aircraft operating in expeditionary environments for ISR, target acquisition, communications, and multi-agent missions. The team also builds autonomy for X-BAT, a new platform under development by the aircraft team; for X-BAT, the team builds on top of the existing mission autonomy solution from the Strategic Systems (ACP) portfolio and works closely with the aircraft team on the flight-autonomy interface. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., ViDAR, ATR), and the HivemindSDK to develop the autonomy software that runs on these platforms, then integrate, validate, and field it on the real hardware — for U.S. and international defense customers.

In this role, you'll own the technical direction for the Expeditionary portfolio, driving the evolution of autonomy architecture across V-BAT and X-BAT while ensuring scalable, mission-ready solutions that support current operators and future platforms. You'll define long-term technical strategy, solve the organization's most complex integration challenges, and influence the direction of autonomy software spanning mission behaviors, platform interfaces, payload integration, executive autonomy, and multi-agent operations.

You'll partner closely with the Aircraft team, Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), engineering leadership, customer/program offices, and operational users to ensure Expeditionary autonomy continues to evolve while remaining reliable in operational environments.

What You'll Do:

Technical Strategy & Portfolio Leadership – Define and drive the long-term technical direction for Expeditionary autonomy across V-BAT, X-BAT, and future platforms.

Develop & Field Autonomy – Guide development of mission autonomy, payload integration, flight-autonomy interfaces, executive autonomy, and multi-agent capabilities while ensuring successful operational deployment.

Aircraft Team Partnership – Establish long-term technical strategy with the Aircraft team for platform integration, interface evolution, and mission readiness.

Cross-Engineering Leadership – Influence architecture across the Autonomy Capabilities, Perception, GCS, Strategic Systems (ACP), Aircraft, and customer organizations.

Subject Matter Expertise – Serve as the organization's technical expert for complex autonomy integration challenges spanning software, hardware, and operations.

Design & Engineering Excellence – Lead architecture reviews, engineering standards, interface definitions, and organization-wide technical improvements.

Mentorship & Organizational Growth – Mentor senior engineers, develop technical leaders, contribute to leveling frameworks, and partner on senior hiring.

Mission Readiness & Operational Excellence – Guide customer releases, deployment strategy, and mission validation while supporting critical operational events.

Continuous Improvement – Drive long-term improvements to engineering processes, integration workflows, testing infrastructure, and developer experience.

C2 Interoperability & Open Systems – Define technical strategy for command-and-control interoperability and adoption of open-systems standards.

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.

Required Qualifications:
  • BS/MS in a relevant engineering discipline or equivalent experience.

  • 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 systems integration challenges.

  • Experience mentoring senior engineers and driving engineering excellence.

  • Ability to obtain a SECRET clearance.

Preferred Qualifications:
  • Extensive experience with Group 3 UAS, VTOL platforms, or comparable autonomous systems.

  • Experience defining flight-autonomy interfaces or custom autopilot integrations.

  • Experience deploying autonomy to operational military systems.

  • Experience with international defense customers.

  • Experience with STANAG 4586, UCI, OMS, and open-systems architectures.

  • Experience shaping engineering practices across an organization.

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Shield AI headquarters

San Diego, CA

Company size

5001,000 employees

Founded

2015

Total raised

$1,313,144,960

View company profile ↗

Funding rounds

  • Series G$2B
  • Debt Financing$250M
  • Series F$20M
  • Series F$240M
  • Series F$240M
  • Debt Financing$200M
  • Debt Financing$200M
  • Series F$300M
  • Series F$300M
  • Series E$60M
  • Series E$60M
  • Series E$90M
  • Debt Financing$75M
  • Series E$90M
  • Debt Financing$75M
  • Series D$210M
  • Series D$210M
  • Series C$70M
  • Debt Financing$20M
  • Debt Financing$20M
  • Series C$70M
  • Series B$25M
  • Series B$25M
  • Series A$10M
  • Series A$10M
  • Series A$10.5M
  • Series A$10.5M
  • Seed$2M
  • Seed$2M
  • Angel$595K
  • Angel$595K