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Systems Test Engineer (R5243)

Shield AI
London
•On-site•
Full-time
•
Posted about 1 month ago
Hivemind Solutions Division
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Job Description

Candidates for this role will lead simulation-driven testing, automation, and software quality efforts for Hivemind, building and executing test frameworks that ensure our autonomy software performs reliably across simulated and real-world mission environments. Shield AI is growing quickly, and we're looking for someone who thrives in fast-paced environments, embraces learning, and brings a high-ownership, mission-driven mindset. This is a chance to have a real impact—advancing autonomy that protects lives—while working with a collaborative, high-performing team.
 
 

Responsibilities

What you'll do:

  • Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases
  • Identify, reproduce, and diagnose software issues—collaborating closely with development teams to drive fixes and improvements
  • Create and execute test plans and documentation for autonomy software in simulated environments, ensuring mission and safety requirements are met
  • Design, implement, and maintain simulation-based test frameworks to validate Hivemind autonomy behavior and performance
  • Build tools and utilities in Python to automate testing, data processing, and analysis workflows
  • Develop test harnesses and data validation tools for Software-in-the-Loop (SIL) / Hardware-in-the-Loop (HIL) / Vehicle-in-the-Loop (VIL) and simulation environments
  • Contribute to the definition of testing methodologies, metrics, and performance benchmarks for autonomy software validation
  • Support the scaling and reliability of simulation infrastructure used for large-scale software validation
  • Maintain detailed and accurate test documentation, ensuring traceability and knowledge sharing across teams
  • Work with developers to integrate test coverage directly into the development pipeline (CI/CD) 

    • Requirements

    Required qualifications:

  • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. 
  • Proficiency in Python.
  • Experience in robotics, small UAS, or related hands-on engineering projects
  • Strong analytical, problem-solving, and debugging skills * Passionate about intelligent aircraft systems.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional software, hardware and mechanical engineering teams.
  • Adaptability and a willingness to learn new technologies and methodologies quickly in a fast-paced environment.

    •  Preferred qualifications:

  • Experience testing autonomous systems, robotics software, or flight autonomy algorithms.
  • Familiarity with C++ and software/hardware integration concepts.
  • Experience with HIL or VIL test environments.
  • Exposure to machine learning or AI-driven autonomy systems.
  • Background in simulation infrastructure design, distributed testing, or test data management.
  • Quality Assurance (QA) experience, including process definition, metrics, and validation tracking.
  • Experience with aerospace, defense, or mission-critical software.

    • Ready to Apply?

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