Senior Staff Engineer, Memory/Network Systems

Job Description

Job Description

We are seeking a highly experienced Senior Staff Engineer to design and develop next-generation systems software spanning Linux , Kubernetes , memory technologies, and distributed infrastructure. This role requires deep expertise across the software stack—from Linux kernel and host operating systems to Kubernetes orchestration and cloud-native platform services.

The ideal candidate is a hands-on engineer who can work across boundaries traditionally divided between kernel, systems, and cloud platform teams.

Key Responsibilities

• Architect and implement end-to-end systems software for advanced platform and memory technologies across Linux and Kubernetes environments.
• Design and develop solutions spanning:
• Linux kernel and host OS integration
• User-space system services and node agents
• Container runtime and kubelet integration
• Kubernetes APIs, Controllers, CRDs, and orchestration workflows
• Develop software for resource discovery, reservation, activation, resizing, release, rollback, and reconciliation within 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 engineering teams to translate low-level platform capabilities into Kubernetes-manageable workflows.
• Work on Linux-side integration involving memory lifecycle management, memory hotplug, NUMA awareness, cgroups, device/resource management, and system telemetry.
• Define interfaces between host software and cluster control-plane components, including failure handling, recovery, and state management.
• Develop node-local software and control-plane services that coordinate host state, platform services, and Kubernetes resources.
• Drive architecture around reconciliation, idempotency, concurrency control, and fault recovery across distributed systems.
• Create observability solutions for controller behavior, node readiness, resource lifecycle management, and failure analysis.
• Support system bring-up, debugging, validation, and performance tuning in lab and pre-production environments.

Required Qualifications

• Strong software engineering experience in Linux systems programming.
• Deep understanding of Kubernetes internals, controllers, operators, CRDs, and cluster orchestration.
• Proficiency in Go (Golang).
• Experience with client-go, controller-runtime, and Kubernetes Operator development.
• Strong knowledge of Linux kernel concepts, memory management, NUMA, cgroups, and system-level resource management.
• Experience developing distributed systems and control-plane software.
• Familiarity with container runtimes, kubelet interactions, and cloud-native infrastructure.
• Experience designing highly reliable, fault-tolerant, and observable systems.