Manufacturing Systems Architect
El Segundo, CA - USA
Job Summary
CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantagedomain dominance. The companys 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 Seattle and London. For more information please visit .
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 and evolution of the systems that power manufacturing operations across the company.
Working closely with Manufacturing Quality Supply Chain Engineering Program Management and Information Technology you will lead the design and implementation of the manufacturing systems ecosystemfrom operational databases and reporting infrastructure to ERP MES PLM quality systems and analytics platforms. You will establish the technical foundation that enables accurate decision-making scalable production and end-to-end traceability across the factory.
This is a builders role: you will define how manufacturing data is captured structured integrated governed and consumed across the organization while creating scalable systems capable of supporting significant production growth.
Responsibilities:
- Design and build the data models schemas and ontologiesand the pipelines and integrationsthat power manufacturing execution quality supply chain inventory and production planning independent of any single platform.
- Make manufacturing data trustworthy and traceable end-to-endfrom shop-floor capture through reportingwith the data integrity and lot/serial traceability defense production demands.
- Integrate the manufacturing systems ecosystemMES ERP PLM quality warehouse and data platformsinto 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 systemsdefining 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:
- Bachelors degree in Computer Science Information Systems Industrial Engineering Engineering Data Analytics or a related technical discipline and 8 years of relevant experience; or a Masters 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 systemsdata models pipelines and integrationsthat 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 and to migrate the architecture forward as the toolset evolvesnot 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 clearancecurrent 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 operateMES/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 and 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.
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Required Experience:
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About Company
CHAOS Industries builds omniscient defense systems powered by Coherent Distributed Networks (CDNTM), giving military, commercial, and border teams the ultimate advantage: time.