2 hours ago
Base Salary
$79k - $110k/yr
Responsibilities
- Develop, test, and maintain Python scripts and libraries for simulation-data analysis, log extraction, and mission or system-performance metrics.
- Build automated test workflows, test adapters, configuration files, and automation utilities using Python and, when needed, C++.
- Create scenario-generation and domain-randomization tools for testing autonomy behaviors across varied simulation conditions.
- Investigate test failures and simulation issues using logs, configuration files, telemetry, rosbags, network captures, and automated test results.
- Maintain reusable test templates, analysis utilities, standardized reporting outputs, and distributed or batch simulation configurations.
- Support containerized development, Kubernetes and Terraform configurations, source control, dependency updates, CI/CD pipelines, and software-build troubleshooting.
- Create developer documentation, setup guides, API references, example workflows, and workspace templates.
- Participate in code reviews, design and test reviews, and collaborative debugging with autonomy, simulation, platform, and program teams.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Aerospace Engineering, Systems Engineering, or a related technical discipline; equivalent practical experience may be considered.
- Foundational software-development experience in Python through coursework, internships, research, personal projects, or professional experience.
- Familiarity with Python scripting, automation, data processing, Linux development environments, command-line tools, shell scripting, software installation, and debugging.
- Understanding of Git-based version control, code review, automated testing, and debugging.
- Familiarity with structured data formats and interfaces such as JSON, YAML, CSV, APIs, and command-line interfaces.
- Exposure to automated testing, CI/CD systems, simulation environments, robotics, autonomy, data pipelines, or developer tooling.
- Basic understanding of container concepts and tools such as Docker, Podman, or Kubernetes.
- Preferred experience includes projects involving autonomous systems, robotics, simulation, software testing, data analysis, or distributed computing.
- Preferred familiarity includes Python data-analysis libraries, CI systems, test frameworks, Dockerfiles, Kubernetes, Terraform, Helm, ROS, ROS 2, rosbag files, telemetry, distributed computing, Ray, Linux debugging tools, and large-scale simulation workloads.
- U.S. citizenship and the ability to obtain and maintain an active U.S. SECRET security clearance are required.
Benefits
- Full-time regular employees receive pay within the listed range, bonus, benefits, and equity.
- Temporary employees receive pay within the listed range and a temporary benefits package applicable after 60 days of employment.
- Offers are contingent on a cleared background and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
Tech Stack
Categories
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.