Principal Teamcenter PLM Applications Engineer
Principal Teamcenter PLM Applications Engineer
enovix corporation- Posted 4 months ago
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Job Description
Key Responsibilities
Design AI/ML Models to enhance product life cycle insight, predictive maintenance and design optimization.
Ensure high-quality data pipelines and governance frameworks across PLM systems.
Evaluate and recommend emerging technologies in PLM, AI, and data analytics.
Implement predictive models to forecast product lifecycle event such as maintenance needs, obsolescence or warranty claims.
Design and manage data lakes and real-time data pipelines to support PLM analytics and AI Workloads.
Build AI-powered recommendation system to assist engineers in design decisions, material selection and change management.
Oversee the entire lifecycle from business requirements gathering, system prototyping, design, to user acceptance testing.
Ensure our solutions are robust, efficient, and scalable.
Enhance CAD performance, including efficient assembly, part creation, and drawing generation.
Establish and maintain Sandbox, Development, Acceptance, and Production environments on an integrated on-prem/virtualized infrastructure.
Manage timely Teamcenter and CAD upgrades, conducting rigorous testing to ensure stability and optimal performance.
Resolve operational issues and provide comprehensive user support, enhancing system usability and productivity.
Adhere to Siemens best practices, employ proven SQL techniques, and utilize Siemens-supported tools for seamless application development.
Manage ACL lists, ADA security, workflows, document management, and data access using BMIDE and administrative applications.
Collaborate with IT system administrators and business stakeholders to ensure strategic alignment and solution delivery.
Lead CAD data management, migration strategies, and oversee data integration into Teamcenter.
Serve as the primary liaison with Siemens and VARs, aligning with technological advancements and product roadmaps.
Who You Are
- PLM Strategy and Architecture:
Design AI/ML Models to enhance product life cycle insight, predictive maintenance and design optimization.
Ensure high-quality data pipelines and governance frameworks across PLM systems.
Evaluate and recommend emerging technologies in PLM, AI, and data analytics.
- Advance AI & Data Analytics:
Implement predictive models to forecast product lifecycle event such as maintenance needs, obsolescence or warranty claims.
Design and manage data lakes and real-time data pipelines to support PLM analytics and AI Workloads.
Build AI-powered recommendation system to assist engineers in design decisions, material selection and change management.
- System Configuration & Enhancement:
Oversee the entire lifecycle from business requirements gathering, system prototyping, design, to user acceptance testing.
Ensure our solutions are robust, efficient, and scalable.
Enhance CAD performance, including efficient assembly, part creation, and drawing generation.
- Operational Excellence:
Establish and maintain Sandbox, Development, Acceptance, and Production environments on an integrated on-prem/virtualized infrastructure.
Manage timely Teamcenter and CAD upgrades, conducting rigorous testing to ensure stability and optimal performance.
Resolve operational issues and provide comprehensive user support, enhancing system usability and productivity.
- Integration Mastery:
Adhere to Siemens best practices, employ proven SQL techniques, and utilize Siemens-supported tools for seamless application development.
Manage ACL lists, ADA security, workflows, document management, and data access using BMIDE and administrative applications.
- Leadership & Collaboration:
Collaborate with IT system administrators and business stakeholders to ensure strategic alignment and solution delivery.
- Strategic Impact:
Lead CAD data management, migration strategies, and oversee data integration into Teamcenter.
Serve as the primary liaison with Siemens and VARs, aligning with technological advancements and product roadmaps.
Who You Are
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Key Skills
Python Flask
Sandbox Development
PLM Solutions
Application Configurations
Predictive Models
Data Lakes
Real-time Data Pipelines
ADA Security Workflows
ACL Lists
AI ML Models
SQL Techniques
Machine Learning Models
Governance Frameworks
Data Pipelines
D365 Integrations
