
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.
🔥 52 minutes ago
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 52 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.
• Build automation for bare-metal provisioning, hardware validation, firmware and software upgrades, repair, and cluster lifecycle management • Develop tools that interact with BMC and Redfish interfaces to monitor hardware health, manage server state, and assist recovery workflows • Handle and advance NVIDIA NVL72 systems and BlueField-3 or later DPUs throughout cloud partner and on-premises environments • Diagnose failures across servers, DPUs, GPU systems, CPU systems, networking, Linux, and Kubernetes; turn recurring issues into automated detection and repair • Define validation and handoff criteria so new capacity enters production safely and consistently • Take part in on-call duties, incident response, root-cause analysis, and follow-up to implement permanent solutions • Work with hardware, networking, platform, data center operations, and partner teams to resolve issues across ownership boundaries
• 12+ years building software for or operating production infrastructure, including substantial hands-on bare-metal experience • Strong Go or Python skills, with a record of delivering production automation and services • Direct experience with BMC and Redfish in server provisioning, health inspection, power management, or fault diagnosis • Practical experience working directly with NVIDIA GPU hardware, such as NVL72 systems, and BlueField-3 or newer DPUs • Experience with Linux, firmware and driver management, network boot, and the server lifecycle from initial provisioning through repair • Experience managing production reliability through on-call duties, incident response, observability, and durable solutions • Ability to debug failures across hardware, host operating systems, networking, and distributed services • Clear communication and demonstrated ownership of problems that span multiple teams • BS/MS in Computer Science or equivalent experience in a practical setting • Experience operating BlueField DPUs in DPU mode, including host-to-DPU connectivity and lifecycle debugging, with DPU or equivalent experience considered • Background with NVLink, InfiniBand, Spectrum-X, or GPU cluster performance validation • Experience building safe, repeatable workflows for rack-scale bringup, firmware upgrades, hardware replacement, and customer handoff • Experience with Kubernetes, GitOps, Argo CD, SLOs, and fleet-wide automation
• Equity • Benefits
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.