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Nvidia Senior Software Engineer AI Infrastructure 
United States, California 
264044154

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US, CA, Santa Clara
time type
Full time
posted on
Posted 26 Days Ago
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The platform enables users to rapidly build, train, and deploy large-scale AI models across leading cloud providers like Oracle, Azure, and Google Cloud, eliminating the complexity of managing their own infrastructure.Key features include pre-trained and fine-tunable models, serverless GPU inference, and a unified interface for multi-cloud management.

What you'll be doing:

You will be building restful cloud services and virtualization frameworks that come together to form our NVIDIA DGX Cloud Reference Architecture. These services have requirements for high security & maximum performance to support extensive AI workloads.

  • Design, build, and implement scalable cloud-based systems for PaaS/IaaS.

  • Work closely with other teams on new products orfeatures/improvementsof existing products.

  • Drive performance tuning and automation.

  • Support, maintain, and document software functionality.

What we need to see:

  • Expertise in Kubernetes (K8s) & KubeVirt.

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

  • Extensive experience with Golang and building RESTful web services.

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

  • Experience with Docker and Containers.

  • Background with Infrastructure as Code.

  • Experience with AWS (Fargate, EC2, IAM, ECR, EKS, Route53 etc...).

  • Experience with Continuous Integration and Continuous Delivery.

  • BS or MS in Computer Science or equivalent experience with over 12+ years of hands-on software engineering.

  • Excellent interpersonal and written communication skills required.

Ways to stand out from the crowd:

  • Experience with Postgres.

  • Exposure to Helm Charts & Terraform.

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

  • Prior experience with Rust & Python as well as demonstrate delivery of complex projects in previous roles.

  • Experience with load testing frameworks as well as experience with secrets management

You will also be eligible for equity and .

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