Senior AI Infrastructure Engineer - DGX Cloud

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Go @ 4 Kubernetes @ 4 Linux @ 4 Terraform @ 4 Python @ 4 Java @ 4 Distributed Systems @ 4 Mathematics @ 4 Networking @ 4 OpenStack @ 4 SRE @ 4 GPU @ 4

Details

NVIDIA is looking for an outstanding, passionate, and talented Senior AI Infrastructure Engineer to join our DGX Cloud SRE group. This engineering role will design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. This role demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment and open source cloud enabling technologies like Kubernetes and OpenStack.

Responsibilities

  • Design, build, deploy, and run internal tooling for large scale AI training and Inferencing platform built on top of cloud infrastructure
  • Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
  • Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement.
  • Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews.
  • Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
  • Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
  • Practice sustainable incident response and blameless postmortems.
  • Be part of an on call rotation to support production systems.

Requirements

  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
  • 5+ years of experience.
  • A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.
  • Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production.
  • Experience in one or more of the following: Python, Go, C/C++, Java.
  • In depth knowledge in one or more of Linux, Networking, Storage, and Containers Technologies.
  • Experience with Public Cloud and Infrastructure as a code (IAAC) and Terraform.
  • Distributed system experience.

Benefits

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.