Staff Mechanical Design & Analysis Engineer - Launch & Recovery Vehicle (LRV)
Shield AI
Seattle, WA · Posted March 27, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Shield AI
More in Washington job market · Engineering jobs
More roles at Shield AI
- Senior Engineer, Full-Stack, Frontend Focus - Forge Applications (R6231) · San Diego, CA
- Director, Test Engineering - ACP Programs · Washington, DC
- Senior Manager, Engineering - Hivemind Reasoning (R6291) · San Mateo, CA
- Director, International Growth Campaign Leader (R5851) · Washington, DC
- Senior Software Engineer, Perception (R5420) · Washington, DC
- Senior Field Services Engineer (R6380) · San Diego, CA
Similar jobs
- Principal Mechanical Engineer - Payloads · Blacksky Technology · Tukwila, WA
- Mechanical Engineer · Blacksky Technology · Tukwila, WA
- Test Engineer - Electric Propulsion, Satellites (Starlink) · SpaceX · Redmond, WA
- Sr. RFIC Design Engineer (RFIC Engineering) · SpaceX · Redmond, WA
- Mechanical Engineer · Ameren · Steedman, MO
- Principal Mechanical Engineer - Thermal Projects · Aes · TX
Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
How AI is used in this kind of work
AI use among mechanical engineers is little observed so far. Measured exposure for mechanical engineers: 8% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
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.
Job Description:
Shield AI is pioneering the development of AI-powered autonomous aircraft for national defense, pushing the boundaries of aerospace innovation. Our next-gen UAS is a high-endurance unmanned system designed for deployment in complex, contested environments.
We are seeking a Staff Mechanical Design & Analysis Engineer to lead the design, analysis, development, and testing of the Launch & Recovery Vehicle (LRV) for our next-gen UAS. This role combines hands-on mechanical design with rigorous engineering analysis to deliver a robust, field-deployable vehicle that enables aircraft launch, recovery, transport, and associated field operations in military environments.
This position requires deep expertise in mechanical design, structural analysis, and ruggedized mechanical systems. You will own hardware from concept development and analytical substantiation through detailed design, manufacturing, and test validation. Working closely with engineering, manufacturing, and flight operations teams, you will use analysis to inform design decisions and test results to validate and refine predictive models.