Responsibilities

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.
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.
Write and maintain domain-randomization scripts that vary environmental, vehicle, sensor, mission, or operational parameters across test runs.
Investigate test failures and simulation issues by reviewing logs, configuration files, telemetry, rosbags, network captures, and automated test results.
Help improve repeatability and consistency in simulation testing by maintaining reusable test templates, common analysis utilities, and standardized reporting outputs.
Assist with containerized development and testing environments using tools such as Docker, Kubernetes, and related infrastructure tooling.
Contribute to prototype configurations for distributed testing and batch simulation runs, including Terraform, Kubernetes manifests, or similar deployment configurations.

Qualification

Bachelor’s degree in Computer ScienceFamiliarity with Python scriptingExposure to automated testingStrong technical problem-solving skillsInternshipExposure to KubernetesFamiliarity with ROS

Required

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 gained through coursework, internships, research, personal projects, or professional experience.
Familiarity with Python scripting, automation, and data processing. Experience with libraries such as NumPy, Pandas, matplotlib, or similar tools is helpful.
Familiarity with Linux development environments, including command-line tools, basic shell scripting, software installation, and debugging.
Understanding of core software-engineering practices, including Git-based version control, code review, automated testing, and debugging.
Familiarity with structured data formats and APIs, such as JSON, YAML, CSV, REST APIs, or 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.
Strong technical problem-solving skills, attention to detail, and a willingness to learn in a fast-moving, collaborative engineering environment.
Ability to obtain and maintain an active U.S. SECRET security clearance; U.S. citizenship is required.

Preferred

Internship, academic project, research, or personal-project experience involving autonomous systems, robotics, simulation, software testing, data analysis, or distributed computing.
Experience creating Python-based data-analysis workflows using NumPy, Pandas, SciPy, matplotlib, Plotly, or similar libraries.
Exposure to continuous-integration systems such as GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar tools.
Familiarity with test frameworks such as pytest, unittest, GoogleTest, Robot Framework, or similar tools.
Experience working with containers using Docker or Podman, including writing Dockerfiles and running local containerized applications.
Exposure to Kubernetes, Terraform, Helm, or other infrastructure-as-code and container-orchestration tools.
Familiarity with ROS, ROS 2, rosbag files, telemetry formats, robotics middleware, network diagnostics, or simulation logs.
Familiarity with distributed compute frameworks or container orchestration tools is highly preferred.

Engineer I, Software - Factory Team (R6235) at f7d8749a-72d6-407c-bf98-292ea630c73a · LumiJobs

Engineer I, Software - Factory Team (R6235)

Responsibilities

Qualification

Required

Preferred

Benefits

Company

f7d8749a-72d6-407c-bf98-292ea630c73a

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