Manager, Software Test & Autonomation (R5461)

San Diego, CaliforniaHivemind Solutions Division – Integration & Test /Full Time Employee /On-siteShield 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 . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Shield AI's Software Test & Automation Team is responsible for developing the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. The team provides objective evidence of software quality, reliability, and mission readiness by developing scalable automation frameworks, repeatable validation environments, and software readiness assessments spanning Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), and operational test environments. As the Software Test & Automation Manager, you will lead a multidisciplinary engineering team responsible for defining verification strategies, building automated validation capabilities, and establishing software readiness standards across a diverse portfolio that includes XBAT, VBAT, Weapons, Space, Maritime, and other emerging autonomy programs. You will partner closely with software engineering, systems engineering, platform integration, digital infrastructure, and flight test organizations to ensure autonomy capabilities are thoroughly validated and ready for operational deployment. This role is ideal for a technical leader who enjoys building high-performing engineering teams, developing scalable automation strategies, and improving software quality through modern verification and continuous validation practices. 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. $160,000 - $240,000 a year#LI-LD1#LDFull-time regular employee offer package:Pay within range listed + Bonus + Benefits + EquityTemporary 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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