---
title: 'Staff Loads Engineer (R4954) at Shield AI'
canonical: 'https://feeny.ai/job/staff-loads-engineer-r4954-shield-ai-seattle-4ncmhe35d047'
type: 'job'
last_seen: '2026-09-12'
---

# Staff Loads Engineer (R4954) at Shield AI

- **Company:** Shield AI
- **Location:** Seattle, WA
- **Compensation:** $200k–$300k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-06-20
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.lever.co/shieldai/18347d18-9816-4085-b0da-5f2ff84687c1

## Job description

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: As a Staff Loads Engineer, you will lead the generation and analysis of structural and aerodynamic load cases that define the mechanical environment for the next-gen air vehicle. You’ll play a key role in shaping how loads flow through the aircraft structure—supporting structural sizing, airworthiness, aeroelastic stability, and flight performance.

This is a highly cross-functional role requiring deep technical knowledge of aeroelastic theory, loads derivation, and flight vehicle behavior. You’ll collaborate closely with structural design, aero, GNC, and test engineering teams to ensure load paths are accurate, traceable, and validated through test or simulation.

What you'll do:

- Own the development of aerodynamic and structural load envelopes for the full vehicle, from clean-sheet through flight test
- Lead maneuver, gust, landing, and ground loads analyses, including both quasi-static and dynamic cases
- Coordinate closely with GNC, aero, and structural teams to define load cases tied to mission profiles and flight control behaviors
- Develop and validate loads models using tools like NASTRAN, FEMAP, MATLAB, or custom Python/Simulink scripts
- Support the sizing and analysis of critical structural components through detailed load maps and V-n diagrams
- Conduct aeroelastic stability assessments, including divergence and control reversal checks
- Lead traceability of loads inputs/outputs across ICDs, FEA models, and design justification documents
- Interface with test engineering to support strain gauge placement, instrumentation plans, and correlation of in-flight data
- Author and present loads documentation for reviews, compliance, and technical buy-in
- Support the long-term refinement of loads methodologies and automation across the aerostructures team

Required qualifications:

- Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, or related field
- 8+ years experience performing loads and aeroelastic analysis for aircraft (manned or unmanned)
- Proficiency with loads modeling tools such as FEMAP, NASTRAN, MATLAB, or other relevant simulation environments
- Strong understanding of aircraft flight envelopes, control surface effects, and structural load paths
- Demonstrated experience supporting both design and test phases with accurate load predictions
- Excellent documentation, cross-functional collaboration, and communication skills
- Ability to get a S//SAR level security clearance desired.

Preferred qualifications:

- Experience on UAV, eVTOL, or tactical military platforms
- Familiarity with MIL-A-8860, FAR Part 23/25 loads regulations, or similar certification standards
- Knowledge of aeroelastic stability, load alleviation, and adaptive control
- Experience developing internal tools or automation for loads generation and reporting
- Active or previous DoD clearance (not required)

## #LI-JM2

#LD

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.

## About Shield AI

## Company Overview
- **One-liner**: Shield AI builds AI pilots and autonomous systems for military aircraft to protect service members and civilians.
- **Entity Type**: Private (Series G, venture-backed)
- **Headquarters**: San Diego, California, United States
- **Founded**: 2015
- **Founders**: Brandon Tseng, Ryan Tseng, Andrew Reiter

## Core Business
- Primary industry/industries: Defense technology, artificial intelligence, autonomous systems, aerospace
- Target customers: U.S. Department of Defense, allied nations’ military forces (B2G / Government)
- Mission or purpose statement: “Protect service members and civilians with intelligent systems.”

## Products & Services
- **Hivemind**: A combat‑tested, modular autonomy stack for aircraft – self‑driving technology for drones, jets, and helicopters. Includes path‑planning, mapping, state‑estimation, computer vision, and reinforcement learning. Type: Software (AI/autonomy).
- **V‑BAT**: A vertical take‑off and landing (VTOL) unmanned aerial system (UAS) designed for persistent ISR and strike missions. Type: Hardware (drone).
- **X‑BAT**: An advanced unmanned aircraft system with extended endurance and payload capacity, built for multi‑domain operations. Type: Hardware (drone).
- **Hivemind Vision Systems**: Computer‑vision and sensor‑fusion capabilities integrated into Hivemind for GPS‑denied environments. Type: Software + sensors.
- **Hivemind Enterprise**: A deployable version of Hivemind for third‑party platforms and commercial applications. Type: Software.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company). Total funding raised: $3.6B (as of Series G in March 2026).
- **Key Metric**: Annual Revenue ~$21.7M (estimated, private) | Total Funding $3.6B (including $2B Series G led by JP Morgan Chase and Advent International, March 2026).
- **Notable Investors/Partners**: JP Morgan Chase, Advent International, Blackstone, Riot Ventures, SnowPoint Ventures, Disruptive (55+ investors total). Strategic partners include U.S. DoD and allied defense forces.
- **Growth Signals**: Headcount grew 68.3% YoY to 1,283 employees; 338 active job postings (+57.2% YoY); operates in 5 countries (U.S., Australia, UAE, Norway, Ukraine); recent acquisitions of Sentient Vision Systems (2024), Heron Systems, MARTIN UAV.

## Competitive Advantages
- **Combat‑proven autonomy**: Hivemind has been tested in live military operations, providing a first‑mover advantage in contested, GPS‑denied environments.
- **Full‑stack integration**: Combines software (AI pilot), hardware (V‑BAT, X‑BAT), and sensor systems, creating a tightly integrated product ecosystem.
- **Cross‑functional engineering culture**: Engineers work across AI, robotics, aerospace, and defense – not siloed – enabling rapid iteration and field deployment.
- **Top talent pipeline**: Employees drawn from Lockheed Martin, Northrop Grumman, Raytheon, Amazon, Anduril, and other leading defense/tech firms.

## Strategic Focus
- **Scale AI pilots across all domains**: Extend Hivemind from aircraft to ships, satellites, and ground vehicles (“every military asset”).
- **International expansion**: Growing presence in Australia, Europe, and Middle East via mission autonomy centers and partnerships.
- **Deepen autonomy stack**: Continued investment in reinforcement learning, simulation, and computer vision to maintain leadership in contested‑environment autonomy.

## Why Work Here
- **Mission‑driven work**: Directly contribute to protecting service members and civilians with cutting‑edge AI and robotics.
- **Cross‑functional teams**: Engineers collaborate across disciplines (AI, hardware, software, systems) on real‑world defense challenges.
- **Benefits**: Excellent medical coverage, mental health EAP, paid parental leave, pet insurance, flexible work hours, gym discounts (SD) / on‑site gym (DC), free parking, competitive compensation, 401k with match, stock benefits.
- **Work policy**: Flexible work hours; some offices (e.g., San Diego HQ, Arlington, DC) have on‑site facilities. Remote/hybrid options available depending on role.
- **Growth trajectory**: Rapidly scaling (68% headcount growth) with hundreds of open roles across engineering, operations, and program management.

## Sources
1. [shield.ai/about](https://shield.ai/about/)
2. [shield.ai/careers](https://shield.ai/careers/)
3. [LinkedIn – Shield AI](https://www.linkedin.com/company/shield-ai)
4. [CBInsights – Shield AI](https://www.cbinsights.com/company/shield-ai)
5. [Lever – Shield AI Jobs](https://jobs.lever.co/shieldai)

## Other roles at Shield AI

- [Senior V-BAT Air Vehicle Operator, Field Integration and Test (R5130)](https://feeny.ai/job/senior-v-bat-air-vehicle-operator-field-integration-and-test-r5130-shield-ai-8ychv8kkv7qh) — Dallas, TX
- [Staff Platform Engineer](https://feeny.ai/job/staff-platform-engineer-shield-ai-san-diego-t739q0cnehtg) — San Diego, CA
- [Principal Engineer, Fluid & Thermal Systems (R5620)](https://feeny.ai/job/principal-engineer-fluid-thermal-systems-r5620-shield-ai-seattle-jzpbwfsaek36) — Seattle, WA
- [Director, Mission Systems](https://feeny.ai/job/director-mission-systems-shield-ai-washington-96nmd081cj08) — Washington, DC
- [Staff Engineer, Safety - X-BAT (R5844)](https://feeny.ai/job/staff-engineer-safety-x-bat-r5844-shield-ai-seattle-qmh74thwt7xs) — Seattle, WA
- [Senior Production Planner, Development Programs (R5277)](https://feeny.ai/job/senior-production-planner-development-programs-r5277-shield-ai-seattle-nj57x3fgq8b7) — Seattle, WA
- [Mission Systems Software Engineer (R5888)](https://feeny.ai/job/mission-systems-software-engineer-r5888-shield-ai-seattle-yw43sjwwgsn0) — Seattle, WA
- [Field Marketing Manager, India](https://feeny.ai/job/field-marketing-manager-india-shield-ai-delhi-4y6c5baq31qg) — Delhi, India
- [Senior Staff Engineer, Mission Architect (R5876)](https://feeny.ai/job/senior-staff-engineer-mission-architect-r5876-shield-ai-washington-5ftkg2h8j234) — Washington, DC
- [Engineer II, Future Concepts (R5910)](https://feeny.ai/job/engineer-ii-future-concepts-r5910-shield-ai-washington-p66bm4ktv41m) — Washington, DC