Staff Engineer, Software - Autonomous Aircraft Integration (R4983)

Shieldai; Washington (District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

Shield AI seeks an experienced Systems Engineer to integrate autonomy software on unmanned aircraft systems in Washington, DC. The role involves managing system integration, performing flight tests, and ensuring compliance standards are met.

The ideal candidate will have extensive experience (7+ years) in engineering disciplines with proficiency in C++ and Python. Strong problem-solving and teamwork skills are crucial as the role demands close collaboration across technical teams.

Qualifications

• Minimum 7 years of related experience with a Bachelor's degree.
• Hands-on experience supporting flight demos or live exercises.
• Direct experience supporting unmanned aerial systems.

Responsibilities

• Integrate autonomy software onto unmanned aircraft systems.
• Coordinate the build, configuration, and validation of flight-ready systems.
• Support live flight operations and troubleshooting.

Skills

Proficiency in programming languages such as C++ and Python

Experience with real-time operating systems (RTOS)

Strong problem-solving skills

Excellent communication and teamwork skills

Familiarity with sensor fusion and middleware frameworks

Experience with simulation tools and environments

Education

BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, or similar

Tools

Linux-based development

Job description

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 and V‑BAT and X‑BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia‑Pacific, Shield AI’s technology actively supports operations worldwide.

Responsibilities

• 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).

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 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work 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.
• 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.

Shield AI is proud to be an equal‑opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.