Drimva

Meta

Teamcenter Developer, Reality Labs

$144K–$204K

Sunnyvale, CA +1 · Full-time · Posted Sep 9, 2026

Location
Sunnyvale, CA
Seattle, WA
Experience
6+ years in Teamcenter administration and architecture.
Education
Bachelor’s degree in Computer Science, Electrical Engineering, Information Systems and Technology, Mathematics, or a related field.

About the job

Own the architecture, administration, integrations, upgrades, and evolution of Meta’s Teamcenter/NX PDM platform supporting Reality Labs Devices mechanical engineering teams.

What you'll do

  • Lead Teamcenter architecture, administration, customization, and environment management, including production support and performance improvements.
  • Lead upgrades and cross-functional integration projects from requirements and design through go-live, coordinating stakeholders and Siemens.
  • Support user and partner onboarding, resolve critical production issues, and create scripts, tools, training, and documentation; use AI to improve workflows and develop tools for Teamcenter/NX users.

What they ask for

  • Bachelor’s degree in Computer Science, Electrical Engineering, Information Systems and Technology, Mathematics, or a related field.
  • 6+ years of experience in Teamcenter administration and architecture.
  • Experience with Teamcenter installation, configuration, customization (ITK/SOA), BMIDE, deployment, and NX integration; Active Workspace configuration and administration.
  • Experience leading Teamcenter upgrades and go-live events; managing production, test, and development environments, including database installation and production clones.

Nice to have

  • Exposure to sustainability/LCA modules in Teamcenter.
  • Experience with testing automation frameworks for PLM environments.

Pay

$144,000/year to $204,000/year USD base salary

Tools

Teamcenter, NX, ITK/SOA, BMIDE, Active Workspace, SQL

AI focus

Use AI tools to improve day-to-day productivity and develop AI-powered tools for Teamcenter/NX users; integrate AI to optimize or redesign workflows and demonstrate impact, follow responsible AI practices, and continue developing AI skills.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)