Engineer II focused on simulation-driven testing, automation, and quality assurance for Shield AI's Hivemind autonomy software in simulated and real-world environments. Requires 2+ years experience, Python proficiency, robotics background, and ability to obtain SECRET clearance.
89k – 130k
On-site2+ YOEQA Engineering
About the role
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 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
Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or 0 years and a Master’s degree; or a PhD without experience; 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
The ability to obtain and maintain a SECRET Clearance (US citizenship required)
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 (QA) experience, including process definition, metrics, and validation tracking
Experience with aerospace, defense, or mission-critical software
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90k – 150k
On-site2+ YOEQA Engineering
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