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Staff Engineer, Software Test (R4784)

Shield AI

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

Base salary $150K  to $220K

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

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  • LocationSeattle, WA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (3 h ago) · observed since

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:

We are seeking an experienced Staff Test Engineer to support the development, integration, and validation of XBat flight critical software systems. This role is responsible for designing and executing test strategies across hardware, software, and system-level components to ensure performance, reliability, and mission readiness.


Key responsibilities include developing test plans and procedures, executing verification and validation (V&V) efforts, analyzing test data, and collaborating cross-functionally with engineering, manufacturing, and program teams. The ideal candidate has strong experience with aerospace or defense systems, familiarity with regulatory standards (e.g., DO-178C, DO-254, MIL HDBK 516c), and a proven ability to troubleshoot complex system issues.


Qualifications include a degree in engineering or a related field, 7+ years of relevant experience, and strong analytical, communication, and leadership skills. Experience with automated testing, hardware-in-the-loop (HIL), and flight test support is highly desirable.

What you'll do:

  • Develop test plans and procedures
  • Executing verification and validation (V&V) efforts, a
  • Analyze test data
  • Collaborate cross-functionally with engineering, manufacturing, and program teams

Required qualifications:

  • Bachelor’s degree in Engineering, Computer Science, or a related technical field
  • Hands-on experience in testing (e.g., 3–7+ years depending on level) across software, hardware, or integrated systems
  • Knowledge of test methodologies including verification & validation (V&V), regression testing, and test case development
  • Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test frameworks
  • Ability to read and interpret technical documentation, requirements, and system specifications
  • Strong problem-solving skills with the ability to troubleshoot and isolate defects
  • Experience working in cross-functional teams (engineering, QA, systems, manufacturing)
  • Familiarity with relevant standards (e.g., ISO, MIL-STD, DO-178C/DO-254 for aerospace/defense roles)
  • Strong written and verbal communication skills for documenting and reporting test results
  • Ability to obtain a S//SAR level security clearance desired.

Preferred qualifications:

  • Experience testing and troubleshooting complex embedded systems.  
  • Experience with large programs and fielding first of type systems.

#LI-SM1

#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, Software Test (R4784) (this listing)$150K - $220K
Staff Engineer, PCB Design (R6075)$150K - $230K
Staff Engineer, Manufacturing Equipment$150K - $230K
Staff Engineer, HMS DevOps/DevEx (R6196)$150K - $230K
Staff Engineer, Tool Design (R4967)$150K - $230K
Staff Engineer, AI Factory (R5276)$150K - $220K
Staff Engineer, Electrical System Advance Manufacturing (R5183)$150K - $230K

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
2026-04-07
Where this pay comes from

Location as the employer wrote it: Seattle, Washington

USD 150,000 – 220,000 · 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.