Drimva

Shield AI

Forward Deployed Engineer, Operations & Sustainment - open level (R5497)

$156K–$320K

San Diego, California +2 · Hybrid · Full-time · Posted Aug 4, 2026

Location
San Diego, California
Washington, D.C.
Remote
Experience
5+ years; the posting lists multiple qualifying hands-on technical roles.
Education
Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience.

About the job

Deploys and sustains Hivemind products in customer environments, providing hands-on technical support, troubleshooting, training, and field-to-engineering feedback.

What you'll do

  • Install, configure, validate, train, troubleshoot, and sustain Hivemind products at customer sites.
  • Capture and organize field evidence, manage issues through resolution, and support root-cause investigations.
  • Turn recurring field issues and lessons into runbooks, support documentation, known-issue records, and product feedback.

What they ask for

  • Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience.
  • 5+ years of experience in a hands-on technical role such as field engineering, systems integration, flight test, or customer deployment.
  • Proficiency writing, reading, and debugging modern C++ code; working proficiency with Python, Bash, or similar scripting.
  • Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, and related field systems.

Nice to have

  • Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, or flight test.
  • Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation.

Pay

USD 156,000–320,000 per-year-salary (base salary)

Tools

Hivemind, C++, Python, Bash, Linux

AI focus

Preferred experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation.

Model-written summary · the original posting is authoritative

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