Shield AI

Senior Manager, Software - Autonomous Aircraft Integration

Shield AI
onsite senior full-time $229,233 - $343,849 a year Washington, DC
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First indexed 17 Apr 2026

Description

This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. As a Senior Manager, Software - Autonomous Aircraft Integration, you will lead technical teams and support direct projects integrating autonomy solutions for defense platforms.

Key responsibilities include:

  • Leading teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
  • Integrating autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
  • Owning the build, configuration, and validation process for flight-ready systems; coordinating hardware/software compatibility and mission readiness.
  • Traveling to test sites and supporting live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
  • Diagnosing and resolving integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
  • Managing data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
  • Collaborating with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

Required qualifications include:

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
  • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
  • 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D.
  • 2+ years of people leadership experience.
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
  • Hands-on experience supporting flight demos or live exercises.
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
  • Ability to obtain a SECRET clearance.

Preferred qualifications include:

  • Direct experience supporting unmanned aerial systems or similar flight test campaigns.
  • Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
  • Competence in sensor integration, electronics debugging, or avionics bring-up.
  • Proficiency in developing automation tools for system testing, logging, and data parsing.
  • Comfortable interfacing with DoD stakeholders during field events or technical reviews.
  • Experience with UCI and OMS Standards.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://jobs.lever.co/shieldai/53d404c6-d2cd-4b97-934f-7b17b2a76768