Senior Manager, Software - Autonomous Aircraft Integration (R3774) jobs in United States
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Shield AI · 2 hours ago

Senior Manager, Software - Autonomous Aircraft Integration (R3774)

Shield AI is a venture-backed deep-tech company focused on protecting service members and civilians with intelligent systems. The Senior Manager will lead technical teams in integrating autonomy solutions for unmanned aircraft, ensuring seamless operation and troubleshooting mission-critical issues in both lab and field environments.

Artificial Intelligence (AI)Autonomous VehiclesDronesMachine LearningNational Security
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication
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)

Qualification

Unmanned Systems experienceC++PythonLinux-based developmentReal-time operating systemsSensor integrationSimulation toolsAutomation toolsTeam leadershipProblem-solvingCommunication skillsCollaboration

Required

BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experience
7+ years of experience in Unmanned Systems programs in the DoD or applied R&D
2+ years of people leadership 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

Preferred

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

Benefits

Bonus
Benefits
Equity
Temporary benefits package (applicable after 60 days of employment)

Company

Shield AI

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Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians.

Funding

Current Stage
Late Stage
Total Funding
$1.31B
Key Investors
Hercules CapitalUS Innovative Technology FundSnowpoint Ventures
2025-03-06Series F· $240M
2023-12-29Debt Financing· $200M
2023-10-31Series F· $300M

Leadership Team

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Gary Steele
Chief Executive Officer
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Brandon Tseng
Co-Founder
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Company data provided by crunchbase