DGX Cloud Automation Engineer

NVIDIASanta Clara, CA
$184,000 - $356,500

About The Position

NVIDIA is looking for a passionate member to join our DGX Cloud Engineering Team as an Automation Engineer. In this role, you will play a significant part in helping to craft and guide the future of AI & GPUs in the Cloud. NVIDIA DGX Cloud is a cloud platform tailored for AI tasks, enabling organizations to transition AI projects from development to deployment in the age of intelligent AI. Are you passionate about software development and strive for quality? Do you pride yourself in building the software that enables AI Factories ? If so, join our team at NVIDIA, where we are dedicated to delivering GPU-powered services around the world!

Requirements

  • BS or MS in Computer Science or equivalent program from an accredited University/College (or equivalent experience) with 8+ years of experience in DevOps and Deployment with 2+ years of programming in Golang
  • Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security.
  • Expertise in Kubernetes (K8s) & KubeVirt.
  • Expertise in bringing up bare metal in a datacenter (PXE Boot, DHCP, DNS, OS)
  • Experience with building RESTful web services.
  • Background with Docker and Containers.
  • Experience with Infrastructure as Code.
  • Background with CSPs, for example: AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc...).
  • Experience with Continuous Integration and Continuous Delivery.
  • Excellent interpersonal and written communication skills required with a track record of solving complex problems with elegant solutions.

Nice To Haves

  • Experience bringing up bare metal infrastructure for HPC
  • Expertise in Virtualization technologies such as Firecracker, KVM, OpenStack, Nutanix AHV & Redhat OpenShift.
  • Demonstrate delivery of complex projects in previous roles.

Responsibilities

  • Play a crucial role in ensuring the success of the DGX Cloud platform by helping to build our development and release processes for AI Factories software, and maintaining a high standard of excellence in our CI/CD, release engineering tools and processes.
  • Design, build, and implement scalable cloud-based systems for PaaS/IaaS.
  • Work closely with other teams on new products or features/improvements of existing products.
  • Develop, maintain and improve CI/CD tools for on-prems and cloud deployment of our software.
  • Collaborate with developers, QA and Product teams to establish, refine and streamline our software release process.
  • Support, maintain, and document software functionality.

Benefits

  • equity
  • benefits
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