Digital Twin Infrastructure engineer

Job Summary

We are seeking a highly skilled Digital Twin Infrastructure Engineer to support the deployment, configuration, and maintenance of Siemens/NVIDIA Digital Twin platforms within enterprise environments. The ideal candidate will have strong experience in infrastructure engineering, cloud technologies, virtualization, networking, storage, and high-performance computing environments supporting Digital Twin and Industrial IoT solutions.

Key Responsibilities

• Deploy, configure, and support Siemens/NVIDIA Digital Twin platforms within the PepsiCo ecosystem.
• Design, implement, and maintain infrastructure components including servers, networking, storage, virtualization, and compute resources.
• Support environment setup, installation, testing, validation, and production deployment activities.
• Collaborate with PEPSense and PEPVision teams to ensure seamless platform integration, interoperability, and optimal performance.
• Monitor infrastructure health, performance, and availability across Digital Twin environments.
• Assist in infrastructure scaling, capacity planning, and operational support for future Digital Twin implementations.
• Troubleshoot infrastructure, networking, storage, and platform-related issues.
• Implement infrastructure security, backup, disaster recovery, and compliance best practices.
• Work with cross-functional teams including cloud, application, data, and operations teams.
• Create and maintain technical documentation, deployment procedures, and architecture diagrams.
• Support automation and infrastructure-as-code initiatives for environment provisioning and management.

Required Skills

• Experience with Digital Twin platforms, Industrial IoT, Smart Manufacturing, or Industry 4.0 solutions.
• Hands-on experience with Siemens Digital Twin technologies and/or NVIDIA Omniverse.
• Strong knowledge of Windows/Linux server administration.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of networking concepts (TCP/IP, DNS, Load Balancers, Firewalls).
• Experience with virtualization technologies (VMware, Hyper-V, Kubernetes, Docker).
• Knowledge of storage technologies, backup, and disaster recovery.
• Experience supporting high-performance computing (HPC) or GPU-based environments.
• Familiarity with automation tools such as Terraform, Ansible, or PowerShell.
• Strong troubleshooting and infrastructure monitoring skills.

Preferred Qualifications

• Experience with Digital Manufacturing, Smart Factory, or Industrial Automation environments.
• Knowledge of Siemens Xcelerator ecosystem.
• Experience with NVIDIA GPU infrastructure and Omniverse deployments.
• Certifications in Cloud, VMware, Linux, or Infrastructure technologies.
• Experience supporting enterprise-scale deployments and production environments