3 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
Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide.