Engineering Manager, Reliability Engineering Flywheel - EDA Infrastructure

NVIDIA builds systems that support chip development and operates in the fields of Artificial Intelligence, High-Performance Computing, and Visualization. The company is seeking an engineering manager to lead operational processes and platforms across incident management, maintenance, on-call, issue management, and customer-serving readiness. This role owns the roadmap and delivery for improving reliability, reducing manual work, and using automation and AI to drive operational improvements.

Responsibilities:

• Lead a team and own the roadmap for operational processes and platforms, from requirements and delivery through adoption and results
• Set technical direction, prioritize work, and guide execution across engineering and operational disciplines
• Partner with infrastructure, product, and security teams to establish consistent practices for incident response, maintenance, on-call, issue management, and customer-serving readiness
• Hire and develop engineers and technical leads, building a team with clear ownership and accountability
• Align priorities across teams, communicate progress and risks, and provide technical leadership during major incidents

Requirements:

• • BS degree or equivalent experience with 10+ overall years of software engineering or related experience, including 5+ years of engineering leadership managing teams or complex technical programs
• • Knowledge of operational processes and supporting platforms, including roadmap, delivery, adoption, and improvement
• • Strong technical judgment in software architecture, platform integration, and engineering tradeoffs
• • Clear communication with engineers, cross-functional partners, and executive stakeholders
• • A record of developing engineers, growing teams, and delivering results under pressure
• • Established readiness standards covering service ownership, support coverage, and reliability objectives
• • Built, integrated, and scaled platforms pertaining the incident, maintenance, customer experience management, along with on-call and production readiness
• • Applied AI or LLMs to improve triage, knowledge retrieval, incident analysis, or automation
• • Supported EDA, large-scale compute, or hybrid infrastructure with complex dependencies and demanding availability requirements