PLM Engineer

Anduril Industries•Costa Mesa, CA

About The Position

We are looking for an experienced PLM Software Engineer with strong Teamcenter expertise to join the ArsenalOS PLM team. As a PLM Software Engineer on ArsenalOS, you will be architecting and implementing mission-critical Teamcenter customizations, integrations, and solutions that enable engineering teams to design, manage, and deliver complex hardware products at scale. This is not a traditional "maintain legacy PLM" role. We want builders. As a member of ArsenalOS PLM, you will help architect and develop next-generation Engineering Backbone from the ground up — integrating CAD, ERP, MES, manufacturing, and engineering systems into scalable modern platforms. You'll be developing custom ITK services, SOA integrations, Active Workspace customizations, and enterprise integrations that serve engineering teams across multiple product lines. We spend time with engineering teams, then provide solutions for the challenges they face managing product data, BOMs, change management, and configuration management. The ideal candidate is a hands-on, deeply technical Teamcenter Software Engineer who thrives in fast-moving, greenfield environments. You combine strong software engineering foundations with Teamcenter expertise, while avoiding the "this is how PLM has always been done" mindset. We value curiosity, speed, ownership, clean architecture, and pragmatic execution over heavyweight process or legacy baggage. You should be equally comfortable with: Teamcenter internals and workflows APIs and distributed systems CI/CD and cloud-native architecture Integration patterns and event-driven services Data modeling and scalable engineering platforms

Requirements

5+ years of experience in a software engineering role building products, ideally in a fast-paced environment
3+ years of hands-on Teamcenter development experience including: ITK (Integration Toolkit) development in C/C++, BMIDE (Business Modeler IDE) data modeling and customization, SOA (Service Oriented Architecture) services and handlers, Active Workspace (AWC) customization and development, Teamcenter architecture, database schema, and administration
Strong programming skills in Java, C++, and C#
Experience with modern software development practices: version control (Git), CI/CD, automated testing, code review
Proficiency with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, etc.) and ability to leverage them for rapid, high-quality development
Experience working with large enterprise applications and platforms with high availability requirements
Database experience (SQL, Oracle or SQL Server, data modeling, query optimization)
Strong opinions about code quality, architecture, and engineering best practices — you're a bar raiser
Degree in Computer Science, Information Systems, Electrical Engineering or related field
U.S. Person status is required as this position needs to access export controlled data

Nice To Haves

Experience with Teamcenter upgrades/migrations (14.x → 2506/25.x) and cloud deployment architectures
Experience with CAD integrations (NX, SolidWorks) and other PLM platforms (Windchill, Aras, Enovia)
Experience in hyper growth startup-like environments or aerospace/defense manufacturing
Understanding of PLM adjacent systems: ERP (Oracle, SAP), MES, WMS, CAD, BOM management
Cloud platforms (AWS, Azure, GCP)
Knowledge of manufacturing processes, product development lifecycle, and engineering change management
Experience with web technologies (JavaScript/TypeScript, React, REST APIs)
Eligible to obtain and maintain a U.S. Secret/Top Secret Security clearance

Responsibilities

Own and deliver complex Teamcenter customizations and integrations for ArsenalOS PLM (ITK, SOA, BMIDE, Active Workspace)
Build high-performance integrations between Teamcenter and other ArsenalOS systems (ERP, MES, change management, requirements management, CAD)
Design and implement scalable data models, business logic, and workflow solutions while minimizing upgrade friction
Contribute to improving the platform observability (Datadog, etc) and reliability
Set the bar for engineering excellence — raise standards through opinionated technical decisions, architectural guidance, and high-quality code contributions
Leverage frontier AI tooling (Claude Code, GitHub Copilot, etc.) for rapid development and serve as a model for how the team should work at speed
Collaborate cross-functionally with systems architecture, software product and design, change management, requirements management, and manufacturing teams
Define architecture standards for scalable growth and move quickly from concept → prototype → production