CHAOS Industries
Production Software Engineer
Builds and owns Python services that pull manufacturing data from dispersed shop-floor, test, and enterprise systems (MES, ERP, QMS, PLM), organizes it into a coherent, queryable system, and deploys it in Docker containers on a major cloud. On-site in Los Angeles, setting engineering practices for a growing manufacturing software team.
- Compensation
- $120K–$210K / yr
- Location
- El Segundo, California, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related STEM field, or equivalent hands-on experience
- 5+ years of professional software engineering experience with a track record of owning systems end to end
- Strong Python software development experience
- Hands-on experience building and operating software in a major cloud environment (Azure, AWS, or equivalent)
- Demonstrated system design skills: planning beyond the immediate ask and shipping tools that scale and get adopted
- Experience organizing data from multiple sources and formats into a usable storage, access, and application layer
- Working knowledge of computer networking fundamentals: IP addressing, routing, subnetting, VLANs, and talking to devices across networks
- Practical Docker (or equivalent container) experience packaging services and integrating with containerized runtimes
- Working Linux fluency (command line, services, logs, permissions, basic networking)
- Familiarity with modern CI/CD practices and tooling such as Jenkins, Artifactory, or equivalent
- Fluency with modern AI-assisted engineering tools (e.g. Cursor, Claude, ChatGPT) in day-to-day development
- Ability to work across factory functions and communicate clearly with engineers and non-engineers
- U.S. citizenship required; must have or be able to obtain and maintain a DoD Secret security clearance
Nice to have
- Experience in aerospace, defense, manufacturing, or a high-growth startup environment
- Experience with Palantir Foundry
- Familiarity with MES/MOM, ERP, QMS, CRM, and modern data/ontology platforms
- JavaScript / TypeScript, or willingness to work across the stack for factory tool interfaces
- Experience with production-level software development and deployment, including DevOps / DevSecOps practices
- Experience supporting digital manufacturing, factory automation, or shop-floor / OT–IT systems
- Experience guiding other engineers on software design, code quality, and delivery practices
- Active U.S. Department of Defense Secret or Top Secret security clearance
Full description
CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, and London. For more information, please visit .
Role Overview:
- Design, build, and own the tools and services that pull data from dispersed production sources, organize it into a cohesive system, and make it usable across the factory.
- Work across manufacturing areas, talking to machines and systems on different networks.
- Turn one-off operational asks into durable software other people can actually use.
- Write Python services against the existing codebase, deploy them in containers, and help set engineering practices for a growing manufacturing software team.
- Operate as a high-ownership, on-site engineer in Los Angeles, CA, partnering closely with Manufacturing, Quality, Supply Chain, Engineering, and IT.
Responsibilities:Data Services & Systems Integration
- Design and build Python services that ingest, organize, and store manufacturing data from dispersed shop-floor, test, and enterprise sources in mixed formats, then present it as a coherent system others can rely on.
- Integrate manufacturing software with the broader systems ecosystem (MES, ERP, QMS, PLM, and data platforms) so production data is trustworthy, queryable, and usable end to end.
Tooling & Adoption
- Turn ad-hoc production and operations requests into reusable tools with clear interfaces, documentation, and a path to adoption — not one-off scripts.
- Design systems that can scale with production growth and are straightforward for operators, technicians, and engineers to adopt.
Factory Networks & Device Connectivity
- Write software that communicates with devices and services across factory networks, including multiple subnets and VLANs.
- Debug connectivity, routing, and interface issues when they arise.
Infrastructure & Deployment
- Containerize services with Docker (or equivalent), run your own code in containers, and integrate with software already running in containerized environments.
- Deploy and operate services in a major cloud environment (Azure, AWS, or equivalent), including the networking, storage, and runtime pieces those systems depend on.