Systems Test Engineer
Leads simulation-driven testing and automation for autonomy software, developing regression, integration, and system-level frameworks across SIL, HIL, VIL, and real-world environments. Requires substantial engineering experience, Python proficiency, and robotics or autonomous-systems expertise.
About the job
Responsibilities
- Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases.
- Identify, reproduce, and diagnose software issues, collaborating 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 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 test documentation for traceability and knowledge sharing across teams.
- Integrate test coverage into the development pipeline through CI/CD.
Requirements
- Typically 7 years of related experience with a bachelor’s degree, 5 years with a master’s degree, 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.
- Excellent communication and collaboration skills across software, hardware, and mechanical engineering teams.
- Adaptability and willingness to learn new technologies and methodologies.
Nice-to-haves
- 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 experience, including process definition, metrics, and validation tracking.
- Experience with aerospace, defense, or mission-critical software.
Skills
Python, C++, Robotics, Small Uas, Autonomous Systems, Flight Autonomy, Hil Testing, Vil Testing, Simulation Infrastructure, Distributed Testing, CI/CD, Machine Learning, Quality Assurance, Data Validation, Software Debugging
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