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Staff Engineer, M&P (R6072)

Shield AI

Company websiteshield.ai (Shield AI, opens in new tab)

Base salary $160K  to $240K

Employer-published annual base salary, USD. Advertised base range in Seattle, WA +2 more

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  • LocationSeattle, WA +2 more
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (48 min ago) · observed since
All places named
  • Seattle, WA
  • San Diego, CA
  • Dallas, TX

About this 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 seeking a Staff Materials & Processes Engineer to support the development and production of our next-generation autonomous aircraft. As a key contributor on the Mechanical Engineering team, you will develop, qualify, and implement materials and manufacturing processes for flight-critical hardware from concept through production.

You’ll work cross-functionally to ensure material performance, process control, manufacturability, and compliance across one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an aerospace materials engineer who thrives in hands-on development environments and is eager to take technical ownership of complex materials and process challenges.

What you'll do:

  • Develop and maintain material specification database
  • Develop and maintain manufacturing process specifications
  • Provide guidance for fatigue and corrosion prevention
  • Support environmental qualification testing
  • Design and implement test plans in support of material, component, and process qualification
  • Develop and maintain QA inspection process specifications
  • Work with suppliers to ensure proper implementation of process specifications
  • Assist with dispositioning of nonconformances
  • Work with multifunctional teams for selection of materials and manufacturing processes

Required qualifications:

  • Working knowledge of relevant industry standards including those pertaining to coupon and element level testing and material qualification
  • Working knowledge of manufacturing processes (including composite layups, secondary bonding, heat treatment, welding, etc)
  • Knowledge of material properties, methods for characterization, and failure mechanisms
  • Experience with test design, test execution, and the derivation of material specifications from test results
  • Experience with composite materials including prepreg systems and secondary bonding
  • Works well in a collaborative setting
  • Experience developing process specifications
  • Experience working with multifunctional teams in a collaborative setting

Preferred qualifications:

  • Experience with fatigue testing
  • Experience with DADT testing
  • Experience with non-destructive inspection

#LI-MS1

#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.

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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. 

Source: Shield AI on Lever · View original posting (opens in new tab)

This range next to 6 other live Shield AI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Shield AI roles with the nearest advertised base floor
RolePublished base
Staff Engineer, M&P (R6072) (this listing)$160K - $240K
Manager, Software Test & Automation (R5461)$160K - $240K
Senior Manager, Quality – Development Programs (R5315)$160K - $240K
Staff Aerostructures Design Engineer (R5160)$160K - $240K
Senior Lead, Enterprise Strategy and Operations (R6097)$160K - $250K
Senior Engineer, Software - Autonomous Aircraft Integration (R5200)$160K - $240K
Senior Manager, Materials Planning & Logistics – Development Programs (R5252)$160K - $250K

Same $100K to $400K scale as every card. All Shield AI roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-24
Where this pay comes from

Location as the employer wrote it: Seattle, Washington • San Diego, California • Dallas, Texas

USD 160,000 – 240,000 · per-year-salary · salaryRange

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.