Manufacturing Systems Architect

• 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
• border protection teams to act faster, adapt rapidly
• 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
• Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle
• London. For more information, please visit www.chaosinc.com .
• Role Overview:
• As CHAOS Industries scales production of advanced defense systems, the systems and data infrastructure that support manufacturing become mission-critical. We are seeking a Manufacturing Systems Architect to own the architecture, integration
• evolution of the systems that power manufacturing operations across the company.
• Working closely with Manufacturing, Quality, Supply Chain, Engineering, Program Management
• Information Technology, you will lead the design and implementation of the manufacturing systems ecosystem—from operational databases and reporting infrastructure to ERP, MES, PLM, quality systems
• analytics platforms. You will establish the technical foundation that enables accurate decision-making, scalable production
• end-to-end traceability across the factory.
• This is a builder’s role: you will define how manufacturing data is captured, structured, integrated, governed
• consumed across the organization while creating scalable systems capable of supporting significant production growth

Responsibilities

• Design and build the data models, schemas
• ontologies—and the pipelines and integrations—that power manufacturing execution, quality, supply chain, inventory
• production planning, independent of any single platform.
• Make manufacturing data trustworthy and traceable end-to-end—from shop-floor capture through reporting—with the data integrity and lot/serial traceability defense production demands.
• Integrate the manufacturing systems ecosystem—MES, ERP, PLM, quality, warehouse, and data platforms—into a coherent, queryable source of truth, and evolve that architecture as systems are added or replaced.
• Build the reporting and analytics backbone that turns operational data into a single operating picture: throughput, quality, labor, capacity, inventory, and on-time delivery.
• Own the technical vision and roadmap for manufacturing systems—defining how the data and systems layer scales to support significant production growth and future automation.
• Lead root-cause investigations into systems, data-quality, and reporting issues, and build the fixes that keep them closed.
• Minimum Requirements:
• Bachelor’s degree in Computer Science, Information Systems, Industrial Engineering, Engineering, Data Analytics, or a related technical discipline and 8+ years of relevant experience
• or a Master’s degree and 6+ years
• or, in lieu of a degree, 12+ years of directly related experience.
• Hands-on experience designing and building manufacturing or operational data systems—data models, pipelines, and integrations—that you personally architected and shipped.
• Deep, current expertise in SQL, relational (and ideally time-series) data modeling, database performance, and building data pipelines and reporting environments from scratch.
• Stack-agnostic builder: deep enough in data and systems fundamentals to design on whatever platform fits the problem
• to migrate the architecture forward as the toolset evolves—not anchored to a single vendor or product.
• Strong understanding of data governance, master data management, systems integration, and traceability principles.
• Ability to translate operational requirements into scalable technical solutions.
• Excellent communication and stakeholder-management skills.
• U.S. citizenship is required: this role accesses export-controlled information and requires a U.S. Department of Defense (DoD) Secret security clearance—current, or the ability to obtain and maintain one.
• Preferred Requirements:
• Experience in aerospace, defense, manufacturing, or national-security environments.
• Experience across the categories of systems we operate—MES/MOM, ERP, and modern data/ontology platforms. (Our current stack includes First Resonance ION, NetSuite, and Palantir Foundry
• familiarity is a plus, not a requirement.)
• Experience building manufacturing data warehouses, ontologies, or operational analytics environments that scaled with production.
• Experience supporting digital manufacturing, Industry 4.0, factory automation, or manufacturing transformation initiatives.
• Experience integrating manufacturing, quality, supply chain, and enterprise systems into a unified operational data environment.
• Active U.S. Department of Defense Secret or Top Secret security clearance.
• Why CHAOS?
• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits : 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 350 employees and counting across 5 global offices
• The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity
• benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
• Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
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