Senior Staff Engineer, Memory/Network Systems Software

Description : 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. Collaborate with Linux, firmware, and hardware teams to translate low-level platform capabilities into safe, observable, Kubernetes-manageable workflows.

JOB TITLE: Senior Staff Engineer, Memory/Network Systems Software
LOCATION: San Jose, CA (Onsite)
PAY RANGE: $65 - $75/hr.
DURATION: 6 Months

Description:
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 is a hands-on systems role for an engineer who is comfortable working across boundaries that are often split between kernel and cloud platform teams.

Responsibilities:

• 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.

BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

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