Integrate avionics, sensors, actuators, and payloads into aircraft and launch/recovery vehicles. Assist harness design, hardware bring-up, integration testing, debugging, root-cause investigations, and verification. Produce integration documentation and test procedures. Collaborate with mechanical, software, embedded, and manufacturing teams, support environmental/qualification testing, and drive continuous improvement.
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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.
Job Description:
We are growing the Avionics Engineering team to support development of the X-BAT aircraft and the Launch and Recovery Vehicle. Our team is designing a flight critical, custom avionics system to support communications, compute, AI, power, telemetry, and all other needed aircraft systems.
This role is an exciting opportunity to be responsible for integrating avionics systems, sensors, actuators, and payloads onto the XBAT and Launch and Recovery vehicle ensuring from concept through production.
What you'll do:
- Support integration of avionics systems, sensors, actuators, and payloads into the aircraft and launch/recovery vehicle
- Assist in harness design
- Support hardware bring-up, integration testing, and debugging
- Participate in root cause investigations and corrective actions
- Create and maintain integration documentation, test procedures, and verification reports
- Work closely with mechanical, embedded, software, and manufacturing teams to resolve integration challenges
- Support environmental and qualification testing of flight hardware
- Contribute to continuous improvement efforts across hardware development projects
Required qualifications:
- Bachelor’s degree in Electrical, Mechanical, Aerospace, or Systems Engineering (or equivalent experience)
- 0–3 years of relevant industry or internship experience
- Strong fundamentals in electrical systems and hardware integration
- Hands-on experience working with embedded systems, sensors, or power systems (academic projects acceptable)
- Comfort working with lab equipment (oscilloscope, DMM, power supplies, etc.)
- Strong troubleshooting mindset and willingness to work hands-on with hardware
- Ability to work in a fast-paced, iterative development environment
- Ability to obtain a S//SAR level security clearance desired.
#LI-JM2
#LB
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.
###
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.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead design, validation, and deployment of advanced electrical hardware test systems for UAVs. Architect PCBs and test interfaces for power electronics, RF, and communications; develop automated Python test sequences; design test fixtures and integrate PLCs, relays, and harnessing; run HASS/ESS/HALT; drive DFT reviews; and mentor junior engineers.
Top Skills:
AltiumCatiaCommunicationsEagleEssHaltHassKicadNxPcbPcbaPlcPower ElectronicsPythonRelaysRfSolidworksTest Automation
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, validate, and deploy advanced electrical test systems and PCBs for UAV subsystems. Develop automated Python test sequences, integrate test fixtures (relays, PLCs, PCBAs, harnesses), lead HASS/ESS/HALT testing, drive design-for-testability reviews, and mentor junior engineers to ensure high-reliability aerospace hardware.
Top Skills:
AltiumCatiaCommunicationsEagleEssHaltHassKicadNxPcb DesignPlcPower ElectronicsPythonRfSolidworks
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, build, and automate electrical test systems and fixtures for UAV subsystems. Develop PCBs, integrate relays/PLCs/PCBAs, run environmental tests (HASS/ESS/HALT), automate test sequences in Python, and collaborate across disciplines to improve testability and reliability.
Top Skills:
AltiumCatiaEagleEssHaltHassKicadNxPcb DesignPcbasPlcsPower ElectronicsPythonRf CommunicationsSolidworks
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
