
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🏄 California, North Carolina, +3 more states – Remote
💵 $152k - $287.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Own the lifecycle of Kubernetes clusters, including control plane, node lifecycle, and fleet-wide upgrades • Own bare-metal provisioning, storage, and networking • Build self-service capabilities for compute, secrets, certificates, DNS, access, and deployment • Extend Kubernetes with controllers and operators • Own CI/CD pipelines and shared platform services such as policy, autoscaling, and observability • Onboard new teams and sites onto the platform through repeatable processes • Define site and team onboarding requirements and build self-service tooling and documentation • Work with EDA, infrastructure, networking, storage, and hardware engineering teams on scalable chip-design workloads • Participate in on-call duties, incident response, root-cause analysis, and capacity planning • Build and operate governed infrastructure for NVIDIA's EDA and hardware engineering organization • Provide a self-service path from source code to production in cloud and physical-site environments
• 5+ years of software engineering or infrastructure engineering experience supporting large-scale production systems • BS in Computer Science, Engineering, Physics, Mathematics, or a related field, or equivalent experience • Strong programming experience in Go or Python • Understanding of data structures, algorithms, testing, and software design • Personally built services that can be explained in depth • Production experience operating Kubernetes or a comparable large-scale platform • Hands-on ownership of specific clusters and components • Experience building automation for distributed infrastructure, including 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 with infrastructure automation, deployment, and operational recovery • Track record of onboarding or migrating teams onto new infrastructure using self-service tooling, readiness checks, and documentation • Strong communication skills and ability to work across teams, organizations, and geographic regions • Contributions to open-source infrastructure projects are a plus • Experience running Kubernetes on bare metal with Cluster API, Metal3, Ceph, or Cilium is a plus • Exposure to EDA applications, license-management systems, high-throughput batch workloads, or semiconductor design workflows is a plus • Experience writing operators or using cloud-native tools such as cert-manager, external-dns, Argo CD, or Kyverno is a plus • Experience operating infrastructure across multiple data centers or heterogeneous hardware environments, on-premises and in the cloud is a plus
• Equity • Benefits
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