Drimva

Shield AI

Senior Software Engineer, Autonomy Capabilities (R5339)

$196K–$294K

San Mateo, California · On-site · Senior · Full-time · Posted Sep 1, 2026

Experience
5 years with a Bachelor’s degree; or 4 years with a Master’s degree; or 2 years with a PhD; or equivalent work experience.
Education
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.

About the job

Develop and integrate tactical autonomy software for unmanned platforms, including planning, decision-making, multi-agent behaviors, and field validation.

What you'll do

  • Design, implement, and test autonomy algorithms and behavior architectures for complex missions and multi-agent coordination.
  • Integrate autonomy software with real-world platforms; collaborate across teams and participate in field tests and flight demonstrations.
  • Analyze mission data, troubleshoot performance, and research or prototype capabilities for the autonomy roadmap.

What they ask for

  • Degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar, or equivalent practical experience.
  • Proficiency in C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Significant background in robotics areas such as control systems, motion planning, optimization, tactical behaviors, or distributed decision-making; experience with unmanned systems and simulation tools.
  • Ability to obtain a SECRET clearance or higher.

Nice to have

  • Experience across multiple aerospace domains, or across classical control, optimization, and applied ML/RL.
  • Background in collaborative behaviors or swarm robotics; familiarity with relevant DoD or government programs; or experience supporting integration events, demos, or live exercises.

Pay

USD 195,840–293,760 per year (base salary)

Tools

C++, Python, RTOS, AFSIM, NGTS

AI focus

Blend classical autonomy and machine learning, including reinforcement learning, to develop robust adaptive behavior.

Model-written summary · the original posting is authoritative

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