Posted:
9/20/2024, 7:58:41 AM
Location(s):
California, United States
Experience Level(s):
Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
Remote
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 to test to production. They will be responsible for supporting SRE teams with development support and collaboration 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 and especially Kubernetes.
What you will be doing:
Develop software systems to support large scale deployments of cloud services
Responsible for contributing to multiple source code projects to fulfill NVIDIA requirements with software services
Work and collaborate with engineering managers, architects, designers, and frontend engineers to deliver high quality software
Automate the validate of software solutions with unit and integration tests
Participate in the ownership and health of CI/CD pipelines from dev to production environments
Collaborate with other specialists for feedback on proposed designs and product direction
Openly share successes and failures in a no blame environment
What we need to see:
BS in Computer Science, Information Systems, Computer Engineering or equivalent experience
7+ years of proven experience in large scale software development
Experience building and shipping services on Kubernetes
Background with using and chipping in to open-source projects
Collaborated with teams to write software to support cloud services at scale
Programming experience in a relevant language, e.g. Golang, Python
Communicate design and quality strategy in written, visual, and oral formats
Experience with a wide range of modern infrastructure tools and technologies
Ways to stand out from the crowd:
Experience with Kubernetes Cluster API, Terraform, Tinkerbell, and other infrastructure tooling
Practical experience with Azure, GCP, or AWS
Capable of refactoring software to run in systems such as Kubernetes
Ability to discuss and work with CSI, CNI, and CRI
Familiarity with the CNCF and the tooling across the ecosystem
Upstream contribution in open source projects
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!
The base salary range is 180,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality