Senior Infrastructure Engineer, Infrastructure Security and Core Services

What you'll do

• Lead the architecture, design, and deployment of global-scale manufacturing sites and their connectivity to AI factories.
• Architect and build CPU-based compute, storage, and GPU/HPC clusters for manufacturing workloads.
• Design high-performance OT and IT networks to support general compute and GPU-dense AI/ML training.
• Implement compute, storage, security, telemetry, and performance-engineering practices to detect infrastructure issues early.
• Define and enforce security, compliance, and reliability standards for all mission-critical manufacturing and R&D infrastructure.
• Develop "NVIDIA on NVIDIA" reference architectures using Mellanox and GPUs for large-scale compute and AI data designs.
• Troubleshoot full connectivity stack infrastructures, including DNS and DHCP, to minimize revenue impact from factory downtime.
• Develop automation pipelines using Python, Ruby, or Go to manage and support large-scale hybrid networks.

What we're looking for

• MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, AI, Data Science, Mathematics, Statistics, or equivalent experience.
• 12+ years of experience in building, managing, and supporting large-scale hybrid networks.
• Experience developing automation pipelines with Python, Ruby, Go, or other languages used in infrastructure automation.
• Expert knowledge of networking technologies, especially Mellanox, and compute technologies like Dell, Openshift, and cloud compute services.
• Experience with storage services such as Pure and Netapp.
• Experience designing compute and storage architectures for data centers, offices, manufacturing environments, and labs.
• Experience building data lakes, caching layers, and cloud-based infrastructure services.
• Experience with Test Engineering topologies and supporting infrastructure on the factory floor.