Cisco
IT Software Engineer
$124K–$226K
RTP, North Carolina, US +1 · Hybrid · Full-time · Posted Oct 16, 2026
- Location
- RTP, North Carolina, US
San Jose, California, US - Experience
- 10+ years of tactical experience in PLM implementations.
About the job
Leads end-to-end solution architecture for Siemens Teamcenter and its PLM platform, aligning supply-chain processes, integrations, and AI capabilities with Cisco’s long-term strategy.
What you'll do
- Architect Teamcenter data models, configuration standards, and scalable solutions across modules and systems.
- Explore and implement AI-enabled PLM capabilities, including part classification, geometric deduplication, and digital-thread traceability.
- Align business requirements and project tracks, review IT solutions, and resolve dependencies, gaps, and risks.
What they ask for
- 10+ years of tactical experience in PLM implementations, including Siemens Teamcenter and Active Workspace.
- Validated expertise designing integrations between Teamcenter and ERP systems.
- Strong understanding of AI/GenAI opportunities in PLM and enterprise applications, with practical AI implementation experience and security proficiency.
- Solid understanding of Agile and DevSecOps practices and toolsets; exceptional partner management and communication skills.
Nice to have
- Supply-chain experience covering high-tech hardware product development, NPI, multi-tier BOMs, AVL/AML management, and contract manufacturing collaboration.
- Experience with middleware, legacy PLM migrations, enterprise-scale test automation, Siemens certifications, or AI orchestration, vector databases, RAG, or semantic search.
Pay
$124,400.00 to $163,200.00 USD (starting salary range; not including incentive compensation, equity, or benefits); $150,300.00 - $226,100.00 USD (full salary range, New York City Metro Area); $137,600.00 - $200,200.00 USD (full salary range, non-Metro New York state & Washington state)
Tools
Siemens Teamcenter, Active Workspace, BMIDE, SOA, REST, Kafka, Playwright, Selenium
AI focus
Explore and implement AI-driven automated part classification, geometric deduplication, and digital-thread traceability; apply AI/automation opportunities in PLM and enterprise applications.
Model-written summary · the original posting is authoritative