
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.
🕒 August 31
🏄 California, North Carolina, +3 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
👷 Infrastructure Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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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 and operate scalable telemetry pipelines for metrics, logs, traces, and events across on-premise, CSP, and NCP clusters • Establish common instrumentation, collection, storage, and access patterns for consistent telemetry generation and consumption • Deliver dashboards, alerting, and analysis capabilities that improve service visibility, detection, and troubleshooting • Standardize and automate incident, maintenance, service on-call, and support on-call workflows across HWInf • Integrate operational data and lifecycle signals to improve ownership, escalation, communication, and post-incident learning • Build reporting and AI-assisted tooling to reduce manual toil and improve operational responsiveness • Build and maintain physical hardware and software catalogs as trusted sources of truth for infrastructure inventory, service ownership, dependencies, and documentation • Create consistent data models and integration pipelines connecting clusters, hardware, services, teams, and operational workflows • Provide self-service discovery capabilities so engineers can identify what they operate, who owns it, and how to support it
• BS degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience • 8+ years of experience in infrastructure security, platform engineering, or security tooling • Proficiency in one or more programming languages such as Python, Go, Typescript, or Java • Strong understanding of software and infrastructure principles, with experience applying them in production environments • Ability to lead cross-functional initiatives spanning internal teams and external partners across engineering, product, finance, and security • Experience building and operating incident-management processes with internally built and/or externally vended SaaS tools • Experience building, deploying, and maintaining ML models in production systems • Familiarity with AI agent frameworks or orchestration tools • Experience building and operating modern observability platforms for scalable metrics, logs, traces, and profiling • Experience working with service catalog and configuration management databases (CMDB)
• Equity • Benefits
Apply Now🕒 August 31
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