Senior DGX Cloud Automation Engineer

NVIDIA·Taipei City, Taiwan·posted 27d ago · last seen 51m ago

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About interviewing at NVIDIA

Recruiter screen, a technical screen mixing resume deep-dive with live coding, a hiring-manager conversation, then a panel of three to five 45–60 minute rounds: coding, systems design under hardware constraints, a domain deep-dive, and behavioral. Highly team-specific — you interview directly with the team — with C++ depth expected almost universally and decisions sometimes taking five-plus weeks after the panel.

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Description

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 tailored for AI tasks, enabling organizations to transition AI projects from development to deployment in the age of intelligent AI.

What you'll be doing:

  • You will play a crucial role in ensuring the success of DGX Cloud by helping to build our development and release processes for services used in AI Factories, 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.

What we need to see:

  • BS or MS in Computer Science or equivalent experience.

  • 5+ years of hands-on software engineering experience.

  • Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security.

  • Expertise in Kubernetes (K8s). Experience with building RESTful web services.

  • Background with Docker and Containers.

  • Experience with Infrastructure as Code. Experience 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.

Ways to stand out from the crowd:

  • Expertise in Virtualization technologies such as Firecracker, KVM, OpenStack, Nutanix AHV & Redhat OpenShift.

  • A track record of solving complex problems with elegant solutions.

  • Prior experience with Go & Python.

  • Demonstrate delivery of complex projects in previous roles.

  • Experience with secrets management.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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