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Shield AI is a venture-backed defense-tech company developing intelligent autonomy systems to protect service members and civilians. The company produces Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies, with operations across the U.S., Europe, the Middle East, and Asia-Pacific.
The Hivemind Solutions Test Department is seeking a Senior Test Engineer (Software & Simulation Focus) for the Bangalore-based team. You will lead simulation-driven testing, automation, and software quality efforts for Hivemind autonomy software, building and executing test frameworks that ensure reliable performance across simulated and real-world mission environments.
Key responsibilities include:
- Develop automated regression, integration, and system-level tests to ensure Hivemind software quality and stability across releases
- Identify, reproduce, and diagnose software issues in collaboration with development teams
- 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 test documentation, ensuring traceability and knowledge sharing across teams
- Work with developers to integrate test coverage directly into the development pipeline (CI/CD)
This is a fast-paced role with a mission-driven team focused on advancing autonomy technology that protects lives. You'll work with collaborative, high-performing engineers across software, hardware, and mechanical disciplines.
Requirements:
- Minimum 3–5 years of related experience with a Bachelor's degree; or 2–4 years with a Master's degree; or 2 years with a PhD; or equivalent work experience
- Proficiency in Python
- Experience in robotics, small UAS (unmanned aircraft systems), or related hands-on engineering projects
- Strong analytical, problem-solving, and debugging skills
- Passion for intelligent aircraft systems
- Excellent communication and collaboration skills, with ability to work effectively across cross-functional software, hardware, and mechanical engineering teams
- Adaptability and willingness to learn new technologies and methodologies quickly in a fast-paced environment
