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Salary
$196k – $294k per year
Location
In office (San Mateo)
Seniority
Senior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Shield AI is an American defence technology company founded in 2015 that builds autonomy software and uncrewed aircraft for military missions. Its Hivemind autonomy stack lets aircraft fly, navigate and complete objectives without GPS, a remote pilot or a communications link, which matters in contested environments where those links are jammed. Headquartered in San Diego, California, the company fields the V-BAT vertical take-off aircraft with United States and allied forces, licenses Hivemind to other manufacturers and is developing the X-BAT jet for high-end missions.

This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments. The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

What you'll do:

  • System Integration & Deployment - Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
  • Pre-flight Preparation - Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
  • On-site Flight Test Support - Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
  • Hardware/Software Debugging - Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
  • Flight Data Capture & Analysis - Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
  • Collaboration Across Teams - Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
  • Continuous Improvement - Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
  • Support Certification and Compliance - Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
  • Travel Requirement - Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
  • Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or completion of a Master’s or PhD program with internship or equivalent practical experience preferred; or equivalent professional 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:

  • 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.
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