The Contract Manufacturing infrastructure team is seeking experienced candidates who have a passion for infrastructure security, compute services and storage needs that are designed for manufacturing workloads. This candidate would need to redesign the NVIDIA manufacturing sites core services, enable new sites and troubleshoot incidents quickly knowing the revenue impact of a factory line being down. This is a hands-on engineer position focused on the development and deployment of ultra-high-speed, resilient, and scalable core services for GPU-accelerated OT and IT environments, manufacturing sites. Outstanding problem-solving abilities and a comprehensive understanding of the computer, storage, routing, switching, automation and deep understanding of fundamental network theory is also critical to your success at NVIDIA.
What you will be doing- Lead the architecture, design, and deployment of global-scale manufacturing sites and their connectivity to AI factories and offices. Architect and build CPU-based compute, storage, and GPU/HPC clusters.
- Design high-performance OT and IT networks both for NVIDIA and Partner connectivities to support both general compute workloads and GPU-dense AI/ML training and inference environments.
- Partner with systems, Operations teams, supply chain partners, OS, GPU, storage, and HPC product teams to deliver scalable, highly available network architectures and connectivity solutions that can evolve with rapid growth in both compute and GPU capacity.
- Implement and refine compute, storage and security, telemetry, and performance-engineering practices across the infrastructure to detect issues early and continually improve end-to-end application experience.
- Manage life cycle management, come up with design infrastructures, revenue generating manufacturing sites.
- Define and enforce security, compliance, and reliability standards for all infrastructure components supporting mission critical manufacturing, R&D workloads, NPI designs in a secure way.
- Collaborate with Operations, Manufacturing Partners and engineering teams to develop "NVIDIA on NVIDIA" reference architectures and best-practice solutions for large-scale compute and AI data designs, using NVIDIA products like Mellanox and GPUs.
- Be able to troubleshoot quickly DNS, DHCP, and other full connectivity stack infrastructures.
- Experience with Test Engineering topologies and experience supporting infrastructure on the factory floor.
What we need to see- MS or PhD in Electrical Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or equivalent experience.
- 12+ years of experience in building, managing and supporting large scale hybrid networks, developing automation pipelines with Python, Ruby, Go or other languages used in infrastructure automation.
- Expert in networking technologies especially Mellanox, Compute technologies - Dell, Openshift, cloud compute services like Dell etc and Storage Services - Pure, 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 with the ability to take requirements into new designs as businesses transform and product requirements change
- Experience with designing Test Automation infrastructures in manufacturing and strong scripting skills
- Designing both CPU and GPU workloads
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
