Principal Software Engineer - Compute Infrastructure

Define Platform Architecture: Lead initiatives to architect and transform our global enterprise compute platform—running thousands of nodes and tens of thousands of VMs and containers via OpenShift and KubeVirt—by defining service tiers, SLAs, and automated cluster lifecycles.

Operationalize Frontier AI Infrastructure: Build the operational foundation for our internal AI inference platform scaling to frontier-class models. You will develop automated remediation pipelines, hardware watchdogs, and telemetry for pre-release, rack-scale GPU systems (including Blackwell and upcoming architectures).

Drive Strategic Capacity & Scale: Collect and review system data for capacity planning to navigate extreme hardware supply constraints. Develop proactive strategies, including public cloud bursting, hardware dogfooding, and evaluating alternative compute architectures (e.g., ARM).

Build the "Paved Road": Collaborate with highly autonomous NVIDIA engineering teams to drive cultural adoption of standard platforms. You will design compelling self-service architectures, APIs, and Terraform/OpenTofu providers that teams want to use.

Lead Complex Migrations: Evaluate existing application architectures and drive the fraught but critical migration of massive legacy workloads—including large-scale, long-running VDI environments—into modern Kubernetes orchestration.

Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience.

15+ years of proven experience in compute platform engineering, site reliability, or systems architecture with a heavy focus on automation at massive scale.

Deep expertise in Kubernetes architecture and designing/deploying virtualization architectures, specifically operating VMs inside K8s (KubeVirt, OpenShift).

In-depth knowledge of hardware technologies (GPUs, high-speed backplane networking) with a track record of mitigating hardware-level failures, silent data corruption, and anomalies in large-scale environments.