5 months ago
Base Salary
$163k - $245k/yr
Responsibilities
- Develop and integrate autonomy software for unmanned air, maritime, space, ground, and effects/expendable platforms.
- Implement mission behaviors, platform controls, multi-agent coordination, contingencies, executive autonomy, and C2 interfaces.
- Perform payload computer bring-up, container-based deployment, system configuration, and hardware/software compatibility validation.
- Own validation from software-in-the-loop and hardware-in-the-loop through vehicle-in-the-loop and live test exercises.
- Diagnose integration and performance issues across autonomy stacks, embedded systems, payload computers, and operational loads.
- Capture mission data, reproduce issues in simulation, and drive fixes into subsequent builds.
- Implement and validate C2 standards including A-GRA, UCI, and OMS.
- Travel approximately 10–20% to offices, customer sites, integration events, and test locations.
- Support flight tests, range exercises, on-water trials, integration events, and live mission operations.
Requirements
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
- Typically requires 5 years of related experience with a bachelor’s degree, 4 years with a master’s degree, 2 years with a PhD, or equivalent work experience.
- Proficiency in C++ and experience developing or integrating real-time or latency-sensitive systems.
- Proficiency in Linux-based development, embedded systems, shell scripting, and system diagnostics.
- Familiarity with middleware, publish-subscribe, or IPC frameworks such as DDS and ActiveMQ.
- Hands-on experience supporting demonstrations, exercises, or field and mission tests for unmanned or autonomous systems.
- Experience with autonomy simulation environments for testing and validation.
- Ability to troubleshoot and optimize system performance across the full stack.
- Ability to obtain a SECRET clearance.
- Preferred qualifications include Python, autonomy stacks, motion planning, vehicle-control integration, vehicle electronics bring-up, payload computer integration, and hardware-in-the-loop debugging.
- Preferred experience includes k3s, k3d, Docker, PX4, ArduPilot, Conan, CMake, C2 standards, AFSIM, NGTS, and DoD technical or field-event support.
Benefits
- Full-time regular employees receive benefits and equity as part of the offer package.
- Full-time and temporary employee packages include applicable bonus or temporary benefits provisions.
- The role is full-time and typically requires approximately 10–20% travel.
- Offers are contingent on a cleared background and possible reference check.
- Shield AI provides equal employment opportunity and accommodation support.
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.