Shield AI
Engineer I, Software - Factory Team (R6235)
Washington, D.C. · On-site · Junior
- Discipline
- Software
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
Hivemind Solutions Division
Software Engineer I on the HMS Factory Team, focusing on automated testing, log-analysis, and scenario-generation tooling for the Hivemind Platform. Early-career developer role emphasizing Python tooling, test automation, data analysis, and distributed test orchestration within secure and containerized environments.
Day shift · 0+ years
Required
- Python
- testing
- automation
- data analysis
- containerized infrastructure
- distributed test orchestration
- software tooling
- documentation
Preferred
- CI/CD
- cloud tooling
- Hivemind or autonomy software
- simulation
- log-analysis
- scenario-generation
- test infrastructure
- Linux
Employer description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
As an Software Engineer I on the HMS Factory Team, you will help build and maintain automated testing, log-analysis, and scenario-generation tools that support the Hivemind Platform (HMP). You will work with experienced software, autonomy, and systems engineers to help teams evaluate AI Pilot behaviors through repeatable simulation testing and data-driven performance analysis.
This is a hands-on engineering role for an early-career developer interested in autonomy, simulation, software test infrastructure, data analysis, and distributed systems. You will contribute Python-based tooling, test automation scripts, analysis utilities, and documentation that help autonomy and systems developers run tests, understand simulation results, and identify software issues.
You will also gain exposure to secure and commercial development environments, build and dependency-management workflows, containerized infrastructure, and distributed test orchestration. Under guidance from senior engineers, you will help improve the reliability, usability, and scalability of the team’s testing and analysis ecosystem.
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