3 months ago
Base Salary
$195k - $293k/yr
Responsibilities
- Develop and integrate autonomy software for unmanned platforms across air, maritime, space, ground, and effects/expendables systems.
- Lead a small feature crew or sub-program through design, development, integration, validation, and field delivery.
- Write mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy code.
- Perform payload computer bring-up, container-based deployment, onboard compute and sensor configuration, and C2 interface integration.
- Author and negotiate interface control documents and interface contracts with internal teams and external platform and C2 partners.
- Lead design reviews, post-mortems, process improvements, and standards-compliance efforts.
- Own build, configuration, compatibility, mission-readiness, and release processes for mission-ready systems.
- Support flight tests, range exercises, on-water trials, integration events, and live mission operations at test sites.
- Debug autonomy stacks, payload computers, and embedded systems, including memory, CPU, and timing performance profiling.
- Capture mission data, reproduce issues in simulation, and drive fixes into subsequent builds.
- Mentor engineers, support onboarding and growth planning, interview candidates, and help define the skills bar for the team.
Requirements
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field, or equivalent practical experience.
- Typically 7 years of related experience with a bachelor’s degree, 5 years with a master’s degree, 4 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 used in autonomy or robotics systems, such as DDS and message buses.
- 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.
- Experience leading a small technical team or owning a major capability from design through field delivery.
- Experience mentoring engineers and growing technical talent.
- Experience authoring or negotiating interface contracts or ICDs with internal or external stakeholders.
- Ability to troubleshoot and optimize system performance across the full stack.
- Ability to obtain a SECRET clearance.
- Preferred qualifications include Python, unmanned-system field-test experience, customer- or partner-facing technical relationship ownership, autonomy or motion-planning experience, vehicle electronics and payload-computer integration, hardware-in-the-loop debugging, container orchestration, PX4 or ArduPilot, automation tools, Conan, CMake, C2 standards, and AFSIM or NGTS.
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 office locations, customer sites, and integration or test events.
- Offers are contingent on a cleared background and possible reference check.
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.