3 months ago
Base Salary
$163k - $245k/yr
Responsibilities
- Integrate existing and newly developed autonomy capabilities onto emerging-domain platforms and mission areas.
- Develop platform and autopilot integrations, payload and sensor integrations, mission behaviors, multi-agent coordination, and contingencies.
- Validate autonomy through software-in-the-loop, hardware-in-the-loop, vehicle-in-the-loop, and live testing.
- Partner with platform, autonomy, perception, GCS, feature, program, and customer teams to deliver mission-ready systems.
- Contribute to design reviews, interface control documents, integration planning, post-mortems, and interoperability standards.
- Build, configure, troubleshoot, and prepare systems for flight tests, maritime trials, ground tests, demonstrations, and operational exercises.
- Capture mission data, reproduce issues in simulation, and develop tools and processes that improve integration and testing reliability.
Requirements
- Bachelor's or master's degree in a relevant engineering discipline, or equivalent practical experience.
- Typically five or more years of relevant experience.
- Strong proficiency in C++ and Linux-based development.
- Experience integrating embedded or real-time software systems.
- Experience supporting integration, testing, or operational field events.
- Strong systems-level problem-solving skills.
- Ability to obtain a SECRET clearance.
- Preferred qualifications include experience with autonomous aircraft, maritime systems, spacecraft, robotics, autonomy software, autopilot integration, robotics frameworks, Python, Docker, rapid R&D, DoD customers, or field demonstrations.
Benefits
- Full-time regular employees receive pay within the listed range, bonus, benefits, and equity.
- Temporary employees receive pay within the listed range and a temporary benefits package applicable after 60 days of employment.
- The role typically requires 10–20% travel to offices, customer sites, training events, flight tests, and integration exercises.
- Offers are contingent on a cleared background and possible reference check.
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.