Administer and support Siemens Teamcenter and related PLM environments, including configuration, upgrades, patching, monitoring, troubleshooting, deployments, user support, documentation, and integrations with ERP, MES, and engineering systems. The role also supports multi-tier architectures, automation, system enhancements, vendor coordination, and continuous improvement across production and test environments.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Shield AI is seeking a Product Lifecycle Management (PLM) Systems Administrator to support and maintain our PLM ecosystem, with a primary focus on Siemens Teamcenter. This role will be responsible for the day-to-day administration, support, and continuous improvement of PLM systems that enable engineering and manufacturing workflows.
This is a hands-on role focused on system administration, user support, and operational excellence. The ideal candidate brings experience supporting Teamcenter or a similar PLM platform and has a strong foundation in PLM concepts and engineering system integrations.
This role is intended to be based in Dallas, TX.
What you'll do:
- Administer, support, and maintain PLM systems, primarily Siemens Teamcenter
- Perform system configuration, upgrades, patching, and routine maintenance across PLM environments (production and test)
- Support multi-tier PLM architecture including web, enterprise, and database layers
- Monitor system performance, troubleshoot issues, and resolve incidents impacting engineering users
- Support environment management, including refreshes, deployments, and basic automation of repeatable tasks
- Assist with implementation of new features, modules, and system enhancements
- Provide day-to-day support to engineering users, including issue resolution, training, and documentation
- Collaborate with infrastructure, engineering, and business systems teams to support integrations with ERP, MES, and other enterprise systems
- Maintain system documentation, runbooks, and standard operating procedures
- Work with vendors and internal stakeholders to resolve issues and improve system capabilities
Required qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience
- 3–5 years of experience administering or supporting PLM systems (Teamcenter preferred; other PLM platforms acceptable)
- Working knowledge of PLM concepts, including product structures, workflows, and lifecycle management
- Experience supporting Windows and/or Linux server environments
- Familiarity with system administration fundamentals (patching, monitoring, backups, troubleshooting)
- Basic understanding of database-backed applications and multi-tier architectures
- Strong problem-solving and analytical skills with a customer-focused mindset
- Effective communication skills and ability to work cross-functionally
Preferred qualifications:
- Hands-on experience with Siemens Teamcenter (installation, configuration, or support)
- Experience with CAD integrations (e.g., NX, SolidWorks, CATIA)
- Familiarity with scripting or automation (PowerShell, Python, or similar)
- Exposure to cloud or virtualization platforms (Azure, VMware, or similar)
- Experience supporting engineering or manufacturing environments
- Familiarity with system integrations across PLM, ERP, or MES platforms
- Experience working in a fast-paced, high-growth or defense-related environment
#LI-KE1
#LB
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Performs organizational-level maintenance on V-BAT unmanned aircraft systems and ground support equipment. Inspects, troubleshoots, repairs, and documents aircraft systems and components; constructs wiring harnesses and performs soldering. Follows technical manuals, engineering drawings, safety procedures, and quality requirements. Collaborates with engineering, quality, production, flight operations, supply chain, and field support teams while supporting maintenance documentation and process improvements.
Top Skills:
Aviation Maintenance ToolsCalipersFeeler GaugesGround Support EquipmentIpc CertificationMicrometersMicrosoft Office SuiteSolderingTorque WrenchesV-Bat Unmanned Aircraft SystemsWiring Harnesses
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Design, implement, and optimize resilient, secure network architectures for V-BAT UAS. Integrate with external networks (radio, satellite), develop communication protocols and provisioning software, test in lab and field, optimize for low-bandwidth/high-latency/high-packet-loss missions, and collaborate with cross-functional teams to deliver production-ready systems.
Top Skills:
BgpCC++DhcpDnsEigrpGreIpsecLinuxOspfPythonQosQuicTcpdumpVlansVpnsWiresharkYocto
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads technical program execution for autonomous aircraft conceptual design and tradespace analysis. Sets objectives from customer use cases, develops cost-performance metrics, manages schedules and budgets, and delivers strategic customer products. Aligns cross-functional stakeholders, translates technical and customer needs into product narratives, conducts market and technology discovery, and makes informed system design and mission utility decisions in defense and aerospace contexts.
Top Skills:
Autonomous AircraftAviation Autonomy SoftwareSimulation And Synthetic Reality Technologies
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

