Description
We are looking for a 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
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