Shield AI
Manager, Software - Perception (R3770)
$220K–$331K
Washington, D.C. +3 · On-site · Manager · Full-time · Posted Mar 26, 2026
- Location
- Washington, D.C.
San Diego, California
Dallas, Texas
Boston, Massachusetts - Experience
- Typically 7 years related experience with a Bachelor’s degree; or 5 years with a Master’s degree; or 4 years with a PhD; or equivalent work experience. Also requires 5+ years in Unmanned Systems programs in the DoD or applied R&D and 2+ years of people leadership 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 teams developing and integrating real-time perception systems for autonomous aircraft, including detection, sensor fusion, and state estimation.
What you'll do
- Lead cross-functional teams and coordinate technical execution across autonomy, integration, and testing.
- Develop and optimize perception algorithms for detection, tracking, sensor fusion, and localization.
- Validate perception systems in simulation and field settings and integrate them with autonomy and onboard hardware.
What they ask for
- BS/MS in a listed engineering or computer science field, or equivalent practical experience.
- Typically 7 years related experience with a Bachelor’s degree; or 5 years with a Master’s; or 4 years with a PhD; or equivalent work experience.
- 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D; 2+ years of people leadership experience.
- Ability to obtain a SECRET clearance.
Nice to have
- Hands-on integration or algorithm development with airborne sensing systems.
- Experience with ML frameworks such as PyTorch or Tensorflow.
Pay
USD 220,441–330,661 per-year-salary (base salary)
Tools
Kalman Filters, PyTorch, Tensorflow, EO/IR, IMU, GPS, SLAM
AI focus
Develops perception algorithms, including deep learning-based detection, classification, and tracking for autonomous aircraft.
Model-written summary · the original posting is authoritative