Software Engineer I, Factory Team (HMS)

About the role

Shield AI, a defense-tech company, is hiring a Software Engineer I on its HMS Factory Team. You will help build and maintain automated testing, log-analysis and scenario-generation tools that support the Hivemind Platform (HMP), working with software, autonomy and systems engineers to evaluate AI Pilot behavior through simulation testing and data-driven analysis. This is a hands-on, early-career engineering role.

Key responsibilities

• Develop, test and maintain Python scripts and libraries for analyzing simulation data, extracting logs and calculating performance metrics.
• Support analysis tools that process simulation outputs, telemetry, rosbags and other test artifacts.
• Help build automated test workflows and wrappers around HMS Forge and other internal test-orchestration tools.
• Build test adapters, configuration files and automation utilities in Python and, when needed, C++.
• Contribute to scenario-generation tools and domain-randomization scripts that vary environmental, vehicle, sensor, mission or operational parameters.
• Investigate test failures by reviewing logs, telemetry, rosbags, network captures and test results.
• Maintain reusable test templates, analysis utilities and standardized reporting outputs.
• Assist with containerized environments (Docker, Kubernetes) and prototype configurations (Terraform, Kubernetes manifests).
• Support source control, dependency updates, CI/CD pipelines and build troubleshooting.
• Write developer documentation, setup guides, API references and example workflows, and take part in code reviews and debugging sessions.

Required profile

• Bachelor's degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering or a related field; equivalent practical experience may be considered.
• Foundational software-development experience in Python.
• Ability to obtain and maintain an active U.S. SECRET security clearance; U.S. citizenship is required.

Required skills

• Python scripting, automation and data processing; NumPy, Pandas or similar libraries are helpful.
• Linux command line, shell scripting and debugging.
• Git, automated testing, debugging and structured data formats (JSON, YAML, CSV) and APIs (REST).
• Basic understanding of Docker, Podman or Kubernetes.
• Preferred: CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Buildkite), test frameworks (pytest, unittest, GoogleTest, Robot Framework), ROS/ROS 2, rosbag, and distributed computing concepts such as Ray.