Nvidia Senior AI Infrastructure Engineer - DGX Cloud 

United States, Texas 

786232308

What You’ll Be Doing:

• 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

What We Need To See:

• 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

Ways to stand out from the crowd:

• Interest in crafting, analyzing and fixing large-scale distributed systems.

• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• Ability to debug and optimize code and automate routine tasks. Experience in using or running large private and public cloud systems based on Kubernetes or Slurm.