Senior Cloud Infra Engineer — Kubernetes & AI Ops (Equity)

Seniorlivingsuncity; Santa Clara (CA); Sur place; USD 184 000 - 357 000; Plein temps

Résumé du poste

NVIDIA is seeking an experienced infrastructure engineer to design and operate scalable cloud services for job execution, resource management, and storage. You will tackle Kubernetes, multi-region services, and automated recovery while improving platform reliability.

Join a team that emphasizes ownership, cross-time-zone collaboration, and cutting-edge AI/ML-driven infrastructure. NVIDIA offers competitive salaries and equity as part of a world‑leading AI hardware company.

Qualifications

• Bachelor's degree in CS/CE or equivalent experience.
• 8+ years of infrastructure development experience.
• Strong OO programming in Java or Go.
• AI/ML and data analytics background applied to infrastructure.
• Ability to diagnose complex distributed systems issues and drive root cause resolution.
• Collaborate across engineering teams and time zones; own customer needs and production outcomes.

Responsabilités

• Design, build, and operate scalable cloud services for job execution, resource management, and storage.
• Solve infrastructure challenges across Kubernetes, job scheduling, multi-region services, and automated recovery.
• Develop agentic workflows that streamline infrastructure operations and reduce repetitive manual work.
• Build observability, monitoring, and remediation capabilities to improve platform reliability and diagnose production issues.
• Partner with engineering teams to understand customer needs and deliver solutions from concept through production.
• Drive capacity planning, performance optimization, and production readiness as the platform grows.

Connaissances

Java

Go

Distributed systems

AI/ML

Formation

Bachelor's degree in CS/CE

Description du poste

NVIDIA is seeking an experienced infrastructure engineer to design and operate scalable cloud services for job execution, resource management, and storage. You will tackle Kubernetes, multi-region services, and automated recovery while improving platform reliability.

Join a team that emphasizes ownership, cross-time-zone collaboration, and cutting-edge AI/ML-driven infrastructure. NVIDIA offers competitive salaries and equity as part of a world‑leading AI hardware company.