# Staff Engineer, HMS Factory

**Company:** [Shield AI](https://hotfix.jobs/companies/shield-ai)
**Location:** Washington, DC
**Role:** DevOps / SRE
**Salary:** $150k – $220k/yr
**Experience:** 7+ years
**Skills:** Python, C++, NumPy, pandas, Docker, Kubernetes, Terraform, Git, Linux, CI/CD, ROS
**Posted:** 2026-07-01

> Staff Engineer building automated testing frameworks, log analysis tools, and scenario-generation scripts on the Hivemind Platform SDK to enable rapid verification of AI Pilot behaviors. Requires strong Python expertise, simulation/testing experience, and ability to obtain SECRET clearance.

## Job Description

## Responsibilities
- Write, optimize, and maintain advanced Python-based data analysis pipelines and custom analyzers (such as the Shared Analysis Tool) to parse simulation runs, extract log data, and calculate mission performance metrics.
- Develop, debug, and maintain custom C++ or Python adapters and automated test orchestration wrappers around core HM Forge to satisfy program-specific validation requirements.
- Implement programmatic scenario-generation pipelines and write domain-randomization scripts to systematically test autonomy behaviors under highly varied environmental conditions.
- Analyze simulation log files, rosbags, and network captures to isolate, reproduce, and debug autonomy software defects or simulator failures.
- Build, test, and write Terraform or Kubernetes configuration files to prototype and deploy distributed orchestration templates on top of the Forge Server.
- Write reusable, clear step-by-step developer guides, API documentation, and workspace templates to help program engineers implement automated simulation tests.
- Design and evolve common telemetry ingestion, analysis, and reporting frameworks that enable consistent performance evaluation across HMS programs.

## Requirements
- Typically requires a Bachelor's degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or related technical discipline, or equivalent practical experience.
- Strong software development background in Python, particularly for data analysis, scripting, and automation tooling (utilizing libraries like NumPy, Pandas, or similar).
- Hands-on experience with automated test orchestration, CI/CD, simulation environments, and container-based architectures (Docker, Kubernetes).
- Solid software engineering fundamentals, including version control (Git), automated testing, and disciplined debugging practices in a Linux environment.
- Strong technical problem-solving skills, with the ability to troubleshoot complex, asynchronous software systems.
- Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required).

## Nice-to-Haves
- Familiarity with distributed compute frameworks or container orchestration tools is highly preferred.

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