2 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- 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 telemetry.
- Deliver dashboards, alerting, and analysis capabilities for service visibility, detection, and troubleshooting.
- Standardize and automate incident, maintenance, service on-call, and support on-call workflows.
- 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 for infrastructure inventory, service ownership, dependencies, and documentation.
- Create data models and integration pipelines connecting clusters, hardware, services, teams, and operational workflows.
- Provide self-service discovery capabilities for engineers.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
- 8+ years of experience in infrastructure platform engineering or tooling.
- Proficiency in one or more programming languages such as Python, Go, TypeScript, or Java.
- Strong understanding of software and infrastructure principles with production experience.
- Ability to lead cross-functional initiatives involving engineering, product, finance, security, and external partners.
- Experience with incident-management processes and incident-management tools is preferred.
- Experience building, deploying, and maintaining ML models in production and familiarity with AI agent frameworks or orchestration tools are preferred.
- Experience operating modern observability platforms and working with service catalogs and configuration management databases is preferred.
Benefits
- Equity and benefits are provided.
- The base salary range is location- and experience-dependent and listed for Level 4 and Level 5.
- Applications will be accepted at least until October 22, 2026.
Tech Stack
Categories
Data EngineeringDevOps
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.