Drimva

Shield AI

Manager of Engineering - Autonomous Pilot Integration (R5153)

$220K–$330K

Washington, D.C. +1 · On-site · Manager · Full-time · Posted Jun 11, 2026

Location
Washington, D.C.
San Diego, California
Experience
Typically a minimum of 7 years with a Bachelor's degree; 5 years with a Master's; 4 years with a PhD; or equivalent work experience. Requires 2+ years of direct people-management experience.
Education
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.

About the job

Leads an engineering team developing, integrating, validating, and fielding autonomy software for launched-effects platforms and multi-agent fleets.

What you'll do

  • Manage, hire, mentor, and support the performance and growth of a small-to-mid-sized engineering team.
  • Lead autonomy software development, platform integration, testing, deployment, and live mission support.
  • Set technical direction and coordinate interface contracts and delivery with internal teams, vendors, and defense partners.

What they ask for

  • BS/MS in a related engineering or computer science field, or equivalent practical experience.
  • Typically 7 years of related experience with a Bachelor's degree; 5 years with a Master's; 4 years with a PhD; or equivalent work experience.
  • At least 2 years of direct people-management experience, including 1:1s, performance reviews, hiring decisions, and growth planning.
  • Strong C++ proficiency; experience with real-time or latency-sensitive systems; ability to obtain a SECRET clearance.

Nice to have

  • Direct experience with PX4 and/or ArduPilot at the platform integration level.
  • Proficiency in Python for scripting, automation, and analysis.

Pay

USD 220,000–330,000 (per-year-salary); base salary

Tools

C++, Linux, PX4, ArduPilot, DDS, Python, QGroundControl (QGC), Qt

AI focus

Develops and integrates autonomy software for unmanned launched-effects platforms, including mission behaviors, multi-agent coordination, and fleet deployment.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)