5 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Serve as incident commander for high-severity incidents and coordinate responders through mitigation and recovery.
- Build and maintain data pipelines that consolidate incident, alert, and change data for reliability reporting.
- Analyze incident trends, recurring failure patterns, time-to-detect, time-to-mitigate, time-to-resolve, regressions, and customer impact.
- Present reliability findings to engineering leadership, recommend priorities, and track corrective actions to completion.
- Improve runbooks, on-call readiness, and operational excellence practices using data-driven insights.
- Facilitate blameless postmortems, operational health forums, and follow-up accountability.
Requirements
- 5+ years of experience in data engineering, incident management, or a closely related engineering role.
- Bachelor's Degree or equivalent experience.
- Strong SQL and Python skills, including building and maintaining pipelines for operational reporting.
- Experience analyzing incident trends and presenting findings used by leadership to prioritize reliability work.
- Hands-on experience with incident management platforms such as PagerDuty, Rootly, or ServiceNow and dashboarding tools such as Tableau, Grafana, or Databricks.
- Experience facilitating blameless postmortems or operational reviews and tracking follow-up actions.
- Clear communication with engineering, leadership, and stakeholders during high-pressure incidents.
- Hands-on experience using AI tools for analysis, debugging, and documentation.
- Preferred experience includes statistical or ML methods for operational data, reliability platforms, globally distributed 24/7 environments, incident simulations, distributed systems, cloud infrastructure, GPU-based services, LLMs, and prompt engineering.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors.
- Applications accepted at least until November 15, 2026.
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.