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Senior Cloud Platform Software Engineer

NVIDIA

Santa Clara (CA)

On-site

USD 224,000 - 426,000

Full time

Yesterday
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Job summary

Join a forward-thinking company as a Cloud Platform Software Engineer, where you'll work with cutting-edge technologies to develop a robust software platform for AI super compute infrastructure. This role involves collaborating with a talented team to automate software validation, support CI/CD pipelines, and contribute to open-source projects. With a strong emphasis on innovation and quality, this position offers a unique opportunity to make a significant impact in the AI and cloud services landscape. If you're passionate about technology and eager to drive advancements in the field, this is the perfect opportunity for you.

Benefits

Equity
Comprehensive Benefits
Diversity and Inclusion Programs

Qualifications

  • 12+ years of experience in large-scale software development.
  • Experience building and shipping services on Kubernetes.
  • Ability to communicate design and quality strategies effectively.

Responsibilities

  • Develop software systems to support large-scale deployments of cloud services.
  • Automate the validation of software solutions with unit and integration tests.
  • Collaborate with engineering teams to deliver high-quality software.

Skills

Golang
Python
Kubernetes
CI/CD Pipelines
Cloud Services
Open-source Contributions
Infrastructure Tools

Education

BS in Computer Science
Information Systems
Computer Engineering

Tools

Terraform
Kubernetes Cluster API
Azure
GCP
AWS

Job description

It's an exciting time to join the NVIDIA Cloud Native Engineering (NVCNE) group’s backend software team! As a Cloud Platform Software Engineer, you will work alongside architects, designers, frontend engineers, SREs, and others to deliver a software platform that supports the lifecycle of Artificial Intelligence (AI) super compute infrastructure on Kubernetes. Together, we will enable AI services across the cloud.

The engineer will write software that aligns with the broad architectural vision for the NVIDIA Cloud Platform, working with architects to develop a robust, scalable system. The engineer owns their code — from development to commit, testing, and production. They will support SRE teams with development support and collaborate with internal product teams on sophisticated distributed systems problems at scale. This engineer will be encouraged to foster NVIDIA’s approach to Cloud Native development, especially Kubernetes.

What you will be doing:
  1. Develop software systems to support large-scale deployments of cloud services
  2. Contribute to multiple source code projects to fulfill NVIDIA requirements with software services
  3. Collaborate with engineering managers, architects, designers, and frontend engineers to deliver high-quality software
  4. Automate the validation of software solutions with unit and integration tests
  5. Participate in the ownership and health of CI/CD pipelines from development to production environments
  6. Collaborate with other specialists for feedback on proposed designs and product direction
  7. Share successes and failures openly in a no-blame environment
What we need to see:
  1. BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience
  2. 12+ years of proven experience in large-scale software development
  3. Experience building and shipping services on Kubernetes
  4. Background with using and contributing to open-source projects
  5. Experience supporting cloud services at scale
  6. Programming experience in relevant languages, e.g., Golang, Python
  7. Ability to communicate design and quality strategies effectively
  8. Experience with modern infrastructure tools and technologies
Ways to stand out from the crowd:
  1. Experience with Kubernetes Cluster API, Terraform, Tinkerbell, and other infrastructure tooling
  2. Practical experience with Azure, GCP, or AWS
  3. Skill in refactoring software for systems like Kubernetes
  4. Knowledge of CSI, CNI, and CRI
  5. Familiarity with CNCF ecosystem tooling
  6. Contributions to open-source projects upstream

NVIDIA leads in Artificial Intelligence, High-Performance Computing, and Visualization. Our GPU powers modern computers and drives innovations from AI to autonomous vehicles. We seek talented, curious, and driven leaders to join us in accelerating AI advancements.

The base salary range is $224,000 to $425,500, determined by location, experience, and peer compensation.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

We are committed to diversity and are proud to be an equal opportunity employer. We do not discriminate based on race, religion, gender, sexual orientation, age, veteran status, disability, or other protected characteristics.

About the company

Nvidia Corporation, based in Santa Clara, California, is a leading multinational technology company specializing in AI, HPC, and visualization technologies.

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