Software Engineer I, Autonomy & Simulation Tools

Shield; Washington (District of Columbia); On-site; USD 85,000 - 105,000; Full time

Job summary

Shield AI is seeking an Software Engineer I to build and maintain automated testing, log-analysis, and scenario-generation tools for the Hivemind Platform. You will work with engineers to evaluate AI Pilot behaviors through repeatable simulation testing and data-driven analysis.

This hands-on role focuses on Python tooling, test automation, and documentation to help autonomy and systems teams run tests and identify issues, while gaining exposure to containerized environments and distributed test

Qualifications

• Bachelor’s degree or equivalent experience in a technical discipline.
• Foundational software-development experience in Python from coursework, internships, or work experience.
• Familiarity with Python scripting, automation, and data processing.

Responsibilities

• Develop, test, and maintain Python scripts and libraries used to analyze simulation data, extract log information, and calculate basic mission or system-performance metrics.
• Support the development of analysis tools that process simulation outputs, telemetry, rosbags, and other test artifacts.
• Help build and maintain automated test workflows and wrappers around HMS Forge and other internal test-orchestration tools.
• Assist with developing program-specific test adapters, configuration files, and automation utilities in Python and, when needed, C++.
• Contribute to programmatic scenario-generation tools that create varied simulation conditions for testing autonomy behaviors.

Skills

Python scripting

Linux

Git

CI/CD

Docker

Kubernetes

Data processing

Education

Bachelor’s degree in Computer Science, Computer Engineering, or related technical discipline

Tools

ROS/rosbag

Terraform

REST APIs

Job description

Shield AI is seeking an Software Engineer I to build and maintain automated testing, log-analysis, and scenario-generation tools for the Hivemind Platform. You will work with engineers to evaluate AI Pilot behaviors through repeatable simulation testing and data-driven analysis.

This hands-on role focuses on Python tooling, test automation, and documentation to help autonomy and systems teams run tests and identify issues, while gaining exposure to containerized environments and distributed test