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.
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.
What you'll do:
Lead and grow a team of Software Test & Automation Engineers supporting Expeditionary and Emerging Operations.
Define verification and validation strategies spanning simulation, SIL, HIL, VIL, and operational test environments.
Drive the development of automated regression testing, validation frameworks, and test infrastructure that improve software quality and engineering velocity.
Establish software readiness criteria, quality gates, and objective performance metrics used to assess autonomy maturity throughout the development lifecycle.
Partner with Digital Infrastructure to integrate automated validation into CI/CD pipelines and expand continuous testing capabilities.
Develop common automation frameworks, reusable test assets, and validation methodologies across multiple autonomy programs.
Coordinate software readiness activities with software engineering, systems engineering, platform integration, and flight test teams.
Develop technical roadmaps, staffing plans, and engineering priorities aligned with organizational objectives.
Mentor engineers, conduct performance reviews, recruit top talent, and foster technical excellence across the organization.
Present software readiness assessments, technical risks, and validation status to program leadership, Chief Engineers, and executive stakeholders.
Required qualifications:
Lead and grow a team of Software Test & Automation Engineers supporting Expeditionary and Emerging Operations.
Define verification and validation strategies spanning simulation, SIL, HIL, VIL, and operational test environments.
Drive the development of automated regression testing, validation frameworks, and test infrastructure that improve software quality and engineering velocity.
Establish software readiness criteria, quality gates, and objective performance metrics used to assess autonomy maturity throughout the development lifecycle.
Partner with Digital Infrastructure to integrate automated validation into CI/CD pipelines and expand continuous testing capabilities.
Develop common automation frameworks, reusable test assets, and validation methodologies across multiple autonomy programs.
Coordinate software readiness activities with software engineering, systems engineering, platform integration, and flight test teams.
Develop technical roadmaps, staffing plans, and engineering priorities aligned with organizational objectives.
Mentor engineers, conduct performance reviews, recruit top talent, and foster technical excellence across the organization.
Present software readiness assessments, technical risks, and validation status to program leadership, Chief Engineers, and executive stakeholders.
Preferred qualifications:
Experience supporting autonomous systems, robotics, or unmanned platforms.
Experience with software quality tools such as SonarQube.
Experience with ROS.
Experience developing software readiness metrics, dashboards, and executive reporting.
Experience supporting DoD programs and customer demonstrations.