Staff Autonomy Integration Engineer

• 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).

• 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. • 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 government stakeholders during field events or technical reviews. • Experience with UCI and OMS Standards.

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. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.  What you'll do: • 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). Required 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. Preferred Qualifications: • 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 government stakeholders during field events or technical reviews. • Experience with UCI and OMS Standards. Total package details for U.S. based positions: - Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity - Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment) - Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity   Total package details for International positions which are roles based outside of the United States (where applicable): - International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer allowance, equity, international benefits, visa assistance, and relocation assistance.   Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.   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.