2 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Own Kubernetes cluster control planes, node lifecycles, fleet-wide upgrades, bare-metal provisioning, storage, and networking.
- Build self-service capabilities for compute, secrets, certificates, DNS, access, and deployment.
- Extend Kubernetes with controllers and operators, using open-source projects where appropriate.
- Own CI/CD pipelines and shared platform services for policy, autoscaling, observability, and secure production delivery.
- Onboard engineering teams and physical sites through repeatable self-service tooling, readiness checks, and documentation.
- Collaborate with EDA, infrastructure, networking, storage, and hardware engineering teams on scalable chip-design workloads.
- Participate in on-call rotations, incident response, root-cause analysis, and capacity planning.
Requirements
- 5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems.
- Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience.
- Strong programming experience in Go or Python, including data structures, algorithms, testing, and software design.
- Hands-on production experience operating Kubernetes or a comparable large-scale platform, with ownership of clusters and components.
- Experience building distributed-infrastructure automation such as reconciliation loops, controllers, operators, or self-healing remediation systems.
- Understanding of performance, security, reliability, fault tolerance, state management, and data consistency in complex systems.
- Experience onboarding or migrating teams onto infrastructure through self-service tooling, readiness checks, and documentation.
- Strong communication, cross-functional collaboration, ownership, and systematic problem-solving skills.
- Preferred experience includes open-source infrastructure contributions; bare-metal Kubernetes with Cluster API, Metal3, Ceph, or Cilium; cloud-native tools such as cert-manager, external-dns, Argo CD, or Kyverno; EDA applications, license-management systems, high-throughput batch workloads, semiconductor workflows; and infrastructure across multiple data centers, heterogeneous hardware, on-premises environments, and the cloud.
Benefits
- Expected base salary ranges are 152,000 USD–241,500 USD for Level 3 and 184,000 USD–287,500 USD for Level 4.
- Eligible for equity and benefits.
- Applications will be accepted at least until November 14, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.