below marketmost similar roles pay hereabove market
This role pays more than
99%
of similar roles. Most pay
$170,343–$246,150
— the blue band above.
At the midpoint, this role pays about
$352k
versus about
$208k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Manager, Kubernetes Runtime Engineering joins the NVIDIA Kubernetes Engine team to lead the Runtime Engineering team. This role involves managing the full configuration lifecycle of tenant workload clusters, ensuring GPU workloads remain reliable and secure at scale. You will oversee the build, implementation, and operational reliability of cluster configurations, managing the container runtime stack including AICR, GPU management operator, and DCGM. Key responsibilities include driving architecture decisions for CNI networking, CSI storage, cluster HA, and GPU resource partitioning like MIG and MPS. You will define hardening standards, RBAC models, and pod security policies while building tooling for AICR lifecycle management. Required expertise includes Kubernetes internals, Cluster API, kubeadm, and security standards like CIS Kubernetes Benchmark to solve complex multi-tenant production problems.
Kubernetes
Go
CNCF
vSphere
Distributed Systems
Cluster API
ContainerD
RunC
Cluster Autoscaler
Metrics Server
ArgoCD
Certmanager
Flux
Gateway API
Etcd
Harbor
Helm
Istio
Jaeger
KEDA
Kubeadm
Kubeflow
Kyverno
OPA/Gatekeeper
Opentelemetry