Senior AI Infrastructure Engineer – Hardware Infrastructure Engineering

🔥 0 minutes ago

🏄 California, North Carolina, +3 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• Equity • Benefits