Senior Principal Autonomy Engineer; R6162

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 (Use the "Apply for this Job" box below). Follow Shield AI on Linked In, X, Instagram, and You Tube.

Shield AI is seeking a Senior Principal Autonomy Engineer to define and lead the technical strategy, architecture, development, integration, and fielding of advanced autonomy capabilities for high performance systems. This role will focus on the sensing, perception, decision, guidance, and control functions that enable reliable operation in complex, contested, and dynamically changing environments.

The Senior Principal Autonomy Engineer will serve as a technical authority for autonomy architectures that incorporate advanced RF sensing, signal processing, electronic protection, state estimation, sensor fusion, guidance, navigation, and end to end vehicle simulation. This individual will shape multi year technical roadmaps, solve the organization’s most complex autonomy and RF performance challenges, and connect algorithm development with embedded implementation, hardware integration, simulation, test, and operational deployment.

The ideal candidate combines deep expertise in radar and RF signal processing with demonstrated leadership in autonomous system development. They bring a record of taking algorithms from early concept through requirements, design reviews, high fidelity modeling, hardware integration, test, and fielded capability, while building and mentoring strong technical teams.

• Define the technical vision, architecture, and development roadmap for autonomy capabilities that combine RF sensing, perception, state estimation, sensor fusion, decision logic, guidance, navigation, and vehicle control.
• Lead the development and maturation of advanced radar and RF signal processing algorithms, including waveform design, adaptive beamforming, direction finding, target detection and tracking, clutter mitigation, electronic protection, and sensor performance optimization.
• Serve as the senior technical authority for autonomy and RF system performance, leading high consequence trade studies, requirements decisions, architecture reviews, algorithm reviews, and technical risk resolution across the full system lifecycle.
• Establish and govern end to end simulation, modeling, and verification approaches, including RF scene generation, electronic attack and protection modeling, sensor models, 6 degree of freedom vehicle simulation, Monte Carlo analysis, software in the loop, hardware in the loop, and field test correlation.
• Lead cross functional technical integration across autonomy, software, RF hardware, avionics, embedded computing, vehicle systems, flight sciences, systems engineering, test, and manufacturing to ensure subsystem performance supports mission level autonomy outcomes.
• Translate mission and vehicle needs into rigorous technical requirements, performance budgets, interface definitions, algorithm specifications, verification plans, and measurable success criteria.
• Guide the technical development of real time algorithm implementations in MATLAB, Python, C, C++, and DSP environments, balancing performance, compute resources, latency, reliability, integration constraints, and operational needs.
• Lead technical engagement with customers, partners, suppliers, and executive stakeholders, communicating technical strategy, performance evidence, maturity, risks, tradeoffs, test outcomes, and recommended decisions.
• Build organizational capability by mentoring engineers, establishing technical standards, recruiting specialized talent, and raising the quality of algorithm development, systems engineering, modeling, verification, and test practices.
• Influence investment decisions, technical proposals, and growth initiatives by defining differentiated autonomy and RF capabilities, assessing technical feasibility, shaping solution architectures, and supporting customer facing technical engagements.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical discipline.
• 15 or more years of professional…