Shield AI
Senior Staff Engineer, Systems Test (R5430)
Dallas, Texas · Staff+ · Part-time
Sponsorship not specified$180k-$270kDetected 1 day ago
PythonRecruitingSystems EngineeringControlsTest Automation
> stay_score
odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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.
Responsibilities
- Generate detailed mission test scenarios that mimic real-world conditions to validate the performance of autonomy and flight control software.
- Participate in design reviews for new features and design detailed test plans based on their requirements
- Conduct and manage system verification and validation events, culminating in verified flight readiness.
- Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment
Requirements
- 10+ years of work experience in testing complex integrated software systems
- Demonstrated expertise & experience in test automation, minimally writing software to automate testing, preferably leveraging simulation for automated integration testing
- Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems
- Experience with automating test cases in an existing test framework
- Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures
- B.S., M.S, or PhD degree in Systems Engineering, Software Engineering, Computer Science or a related field
Nice to have
- Full-time regular employee offer package: Pay within range listed +
- All offers are contingent on a cleared background and possible reference check.
- 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.
Skills
- 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.
- For more information, visit www.shield.ai.
- Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Compensation
- 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 compe
Benefits
- Military fellows and part-time employees are not eligible for benefits.
- 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.
- Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements
Equal opportunity
- equal opportunity workplace and is an affirmative action employer.
- If you have a disability or special need that requires accommodation, please let us know.
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This listing is sourced directly from Shield AI's careers page and normalized into a canonical job model.