About this role
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).
Required qualifications:
- Typically requires a minimum of 3-5 years of related experience with a Bachelor’s degree; or 2-4 years and a Master’s degree; or 2 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.