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Shield AI

Builds autonomous aircraft for defense

Verification and Validation Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • For the Senior level, a Bachelor's degree in Systems Engineering, Software Engineering, Computer Science, or a related field and 5+ years of work experience testing complex integrated software systems; alternatively, a Master's degree with 4+ years or a PhD with 2+ years.
  • For the Staff level, a Bachelor's degree in Systems Engineering, Software Engineering, Computer Science, or a related field and 7+ years of work experience testing complex integrated software systems; alternatively, a Master's degree with 6+ years or a PhD with 4+ years.
  • For the Senior Staff level, a Bachelor's degree in Systems Engineering, Software Engineering, Computer Science, or a related field and 10+ years of work experience testing complex integrated software systems; alternatively, a Master's degree with 9+ years or a PhD with 7+ years.
  • Demonstrated expertise and experience in test automation, including writing software to automate testing; experience leveraging simulation for automated integration testing is preferred.
  • Strong experience with the software product development lifecycle, ideally for autonomy or vehicle systems.
  • A strong understanding of system architecture, requirement derivation, and test planning across the V-model.
  • Experience automating test cases in an existing test framework.
  • Experience producing high-quality technical documentation, including test plans, quality-assurance reports, and operational procedures.
  • A proven track record of shipping products and navigating development cycles, overcoming obstacles, and delivering high-quality solutions to project deadlines in a fast-paced environment.

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.
  • Write test analyzers in Python to report and benchmark system performance and qualification metrics.
  • Produce test coverage and release-readiness reports by aggregating test cases, results, and quality requirements.
  • Recommend improvements to simulation models and fault injection to enhance the test suite before proceeding to flight.

Desired Qualifications

  • Experience with autonomous or robotic systems.
  • Experience with simulation software and hardware emulation.
  • Background in a fast-paced research and development or startup environment.
  • Proficiency in build test automation.
  • Proficiency in Python or C++.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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