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

Washington, DC
Full Time On-site

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. 

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. 

About Shield AI

Shield AI

Shield AI is a defense technology company building autonomous AI systems for aircraft, drones, and intelligent mission software used in complex military environments. Founded in 2015, the company is best known for developing Hivemind, an AI pilot system that enables aircraft and drones to operate autonomously in contested and GPS-denied environments, supporting U.S. and allied defense missions.

For job seekers, Shield AI offers opportunities across advanced fields including artificial intelligence, robotics, software engineering, autonomy systems, aerospace engineering, embedded systems, and mission operations. The company is especially attractive to engineers, AI researchers, and defense professionals who want to work on real-world autonomous systems that are actively being deployed in operational military scenarios.

Unlike traditional defense contractors, Shield AI operates with a startup-style engineering culture focused on rapid experimentation, real-world testing, and fast deployment of autonomous capabilities. Employees work on tightly integrated AI and robotics systems that combine perception, decision-making, and control, enabling platforms to operate without direct human input in highly complex environments.

As modern warfare increasingly shifts toward autonomous systems, distributed sensing, and AI-enabled decision-making, Shield AI continues to grow as one of the most prominent companies in next-generation defense technology. For professionals seeking to build cutting-edge autonomy systems with direct mission impact, Shield AI stands out as a leading employer in the defense innovation ecosystem.

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