Senior Staff Engineer (Memory/Network Systems Software) - San Jose, CA - Onsite

We are looking for a Senior Staff Engineer (Memory/Network Systems Software) in San Jose, CA for a 5-day onsite position. The ideal candidate will work across the full stack, from host memory and device behavior in Linux to node agents and container runtime interactions, to Kubernetes resource orchestration, controllers, and cluster-level lifecycle management. This role requires a hands-on systems engineer comfortable working across boundaries often split between kernel and cloud platform teams., * Architect and implement end-to-end systems software for advanced platform and memory technologies across Linux and Kubernetes environments.

• Design solutions that span:
• Linux kernel and host OS integration
• User-space system services and node agents
• Container runtime / kubelet interaction points
• Kubernetes APIs, controllers, CRDs, and orchestration workflows
• Develop software for resource discovery, reservation, activation, resize, release, rollback, and reconciliation in clustered environments.
• Build and maintain Kubernetes operators, controllers, and automation services using Go, client-go, controller-runtime, and related frameworks.
• Collaborate with Linux, firmware, and hardware teams to translate low-level platform capabilities into safe, observable, Kubernetes-manageable workflows.
• Work on Linux-side integration for areas such as memory lifecycle, hotplug behavior, NUMA awareness, cgroups, device/resource management, and system telemetry.
• Define interfaces between host software and cluster control-plane components, including state models, failure handling, and recovery behavior.
• Develop node-local software and control-plane services that coordinate host state, platform services, and Kubernetes objects.
• Drive architecture for reconciliation, idempotency, concurrency control, and fault recovery across distributed components.
• Create observability for controller behavior, node readiness, resource lifecycle progress, and failure analysis.
• Partner with internal teams across kernel, systems architecture, firmware, validation, and platform software to bring proof-of-concept software into robust internal infrastructure.
• Support bring-up, debugging, validation, and performance tuning in lab and pre-production environments.

• Bachelor’s/Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field; advanced degree preferred.
• Experience with Staff Engineer roles.
• Familiarity with memory technologies.
• Proficiency in Linux and Kubernetes.