Senior Staff Engineer, Avionics Systems (R6238)

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. 

As a Staff Systems Engineer on Shield AI's next gen UAS program, you will play a pivotal role in designing, developing, and integrating cutting-edge autonomous aircraft systems for national defense. You will lead the technical execution of the air vehicle avionics architecture, integrating flight computers, navigation, communications, sensor payloads, and mission systems with autonomy and propulsion.

This position requires a deep understanding of aerospace systems engineering, avionics architecture, and complex system integration. You will work with the hardware, software, autonomy, flight operations, and manufacturing teams to develop a scalable, mission-ready platform that can operate in contested environments.

Your expertise will be critical to defining avionics requirements and architectures through model-based systems engineering (MBSE). You will also run trade studies, ensure compliance with military and aviation standards, and support the aircraft through flight testing and operational deployment.

System Architecture & Design: Develop and refine the avionics architecture for the next gen UAS, covering flight and mission computers, data networks, navigation, communications, sensor payloads, and their interfaces with autonomy and propulsion.

System Behavior & Safety: Define and document system-level behavior, including modes, states, transitions, redundancy management, and fault detection, isolation, and recovery. Support safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions.

Requirements & Interface Management: Establish top-level requirements, break them down into avionics subsystem requirements, and own the interface control documents (ICDs), keeping them traceable across the development lifecycle.

Navigation & Communications: Define navigation architectures, including GPS/INS and alternative navigation for GPS-denied operations. Also define datalink and communications architectures that keep command, control, and mission data reliable in contested environments.

Avionics Integration: Lead integration of avionics hardware and data buses (e.g., Ethernet, MIL-STD-1553, ARINC 429, CAN), thermal, EMI/EMC, and environmental considerations.

Autonomy Integration: Work with the autonomy and software teams to make sure the avionics architecture provides the compute, sensor data, and determinism that flight control and mission execution need.

Stakeholder Engagement: Work with DoD stakeholders, industry partners, and avionics suppliers to align system capabilities with operational requirements.

Typically requires a minimum of 7 years of related experience with a Bachelor's degree

Demonstrated experience defining system behavior logic, operational modes, and redundancy and fault management

Deep expertise in avionics architecture and integration, including flight computers, navigation systems, datalinks, and avionics data buses

Proficiency in MBSE, DOORS, SysML, Cameo, or similar system modeling tools for complex systems design and analysis

Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms

Strong background in avionics integration, hardware/software integration labs, flight testing, and performance validation

Knowledge of DoD acquisition processes, airworthiness (MIL-HDBK-516C), and avionics standards (e.g., MIL-STD-461, MIL-STD-704, MIL-STD-810, DO-178C, DO-254)

Experience on a developmental program from clean sheet to first flight

Demonstrated ability to lead cross-functional teams in a fast-paced, agile environment with shifting priorities

Ability to obtain a S//SAR level security clearance

Experience with alternative navigation, assured PNT, or GPS-denied navigation solutions

Expertise in sensor integration for airborne platforms

Familiarity with modular open system architectures (MOSA), Government Reference Architectures (GRA), or open standards such as SOSA and FACE

Experience developing or integrating AI-driven autonomy for unmanned aircraft

Prior experience working with defense primes, DoD stakeholders, or government R&D programs

Active Secret or Top Secret clearance