Senior AI Infrastructure Engineer - DGX Cloud

Job summary

NVIDIA is seeking a Senior AI Infrastructure Engineer to design, build, and maintain large-scale production systems with high efficiency and availability. This role requires expertise in software and systems engineering, networking, coding, databases, capacity management, and open-source cloud technologies.

Benefits

Qualifications

• Bachelor's degree in Computer Science or a related technical field involving coding, or equivalent experience.
• Five or more years of experience.
• Demonstrated ability to initiate projects, collaborate with others, and contribute to team projects.
• Background in infrastructure automation and distributed systems architecture for managing large-scale private or public cloud platforms.
• Experience with Python, Go, C/C++, or Java.
• Comprehensive understanding of Linux, Networking, Storage, or Container Technologies.
• Experience with Public Cloud, Infrastructure as Code (IAAC), and Terraform.
• Experience with distributed systems.

Responsibilities

• Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platforms on cloud infrastructure.
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Improve the lifecycle of services from inception to refinement.
• Support services through system design consulting, software tool development, capacity management, and launch reviews.
• Maintain live services by measuring and monitoring availability, latency, and system health.
• Scale systems sustainably through automation and evolve systems for improved reliability and velocity.
• Practice sustainable incident response and blameless postmortems.
• Participate in an on-call rotation to support production systems.

Skills

Degrees

Languages

Work schedule

Relocation