Shield AI

Senior Systems Engineer (R5962)

Shield AI$120K — $145K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in aerospace systems engineering or autonomous aircraft
  • Experience in defining system behavior logic and operational modes
  • Proficient in avionics integration and autonomy-driven flight systems
  • Skilled in MBSE tools (DOORS, SysML, CAMEO) for systems design
  • Familiar with Group 4/5 UAS and military aircraft standards
  • Strong flight testing and system integration background
  • Knowledgeable about DoD acquisition processes and military standards

Responsibilities

  • Develop system architecture for next gen UAS with seamless component integration
  • Define and document system-level behavior, including fault responses
  • Support safety analyses by outlining behavior under fault conditions
  • Establish and manage top-level system requirements throughout the lifecycle
  • Collaborate on AI integration for advanced flight control and decision-making
  • Utilize MBSE tools to create system models and conduct performance trade studies
  • Engage with stakeholders to align capabilities with operational needs
  • Facilitate cross-functional collaboration for efficient system integration

Benefits

  • Comprehensive medical, dental, and vision insurance
  • 401(k) retirement plan with company matching
  • Generous paid time off policy
  • Employee equity options
  • Opportunities for professional development and growth
Full Job Description
Job Description:

As a Senior 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 system architecture, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission-critical systems.

This position requires a deep understanding of aerospace systems engineering, autonomy, and complex system integration. You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and manufacturing to develop a scalable, mission-ready platform capable of operating in contested environments.

Your expertise will be critical in defining system requirements and architectures through model-based systems engineering, conducting trade studies, ensuring compliance with military and aviation standards, and supporting the aircraft through flight testing and operational deployment.

What You'll Do:
  • Perform System Architecture & Design: Develop and refine the system architecture for the next gen UAS, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission systems.
  • Define and document system-level behavior, including modes, states, transitions, and fault responses
  • Support safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions
  • Define and Manage System Requirements: Establish top-level requirements, decompose them into subsystems, and maintain traceability across the development lifecycle.
  • Autonomy & AI Integration: Work closely with autonomy and software teams to integrate AI-driven flight control, decision-making, and mission execution capabilities.
  • Model-Based Systems Engineering (MBSE): Utilize SysML, DOORS, or other MBSE tools to create digital system models, conduct trade studies, and optimize system performance.
  • Risk Management & Trade Studies: Conduct trade studies to evaluate design alternatives, assess technical risks, and ensure the best engineering solutions for mission effectiveness.
  • Stakeholder & Customer Engagement: Work closely with DoD stakeholders, industry partners, and government agencies to align system capabilities with operational requirements.
  • Cross-Functional Collaboration: Partner with hardware, autonomy, software, propulsion, and flight operations teams to drive seamless system integration and rapid development cycles.

Required Qualifications:
  • 5+ years of experience in systems engineering for aerospace, defense, or autonomous aircraft systems.
  • Demonstrated experience defining system behavior logic and operational modes
  • Deep expertise in system architecture, avionics integration, and autonomy-driven flight systems.
  • 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 flight testing, system integration, and performance validation.
  • Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards.
  • Demonstrated ability to lead cross-functional teams and drive complex projects to successful completion.
  • Ability to work in a fast-paced, agile development environment with shifting priorities.
  • Worked on developmental program from clean sheet to first flight
  • Ability to obtain a S//SAR level security clearance desired.

Preferred Qualifications:
  • Experience developing AI-driven autonomy for unmanned aircraft.
  • Expertise in ISR, EW, and advanced sensor integration for airborne platforms.
  • Familiarity with modular open system architectures (MOSA) and Government Reference Architectures (GRA) for defense applications.
  • Prior experience working with defense primes, DoD stakeholders, or government R&D programs.
  • Active Secret or Top Secret clearance (or ability to obtain one).

#LI-JM2

#LE

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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