DGXC SRE at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance.
We are looking for systems and software engineers who are interested in building tooling, reporting, automation, and ML to enable operational excellence across a highly dynamic organization, solving technical problems that will improve the state of operations across many teams.
What you’ll be doing:
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Design, build, deploy, and run internal tooling built on top of cloud infrastructure to provide foundations for operational excellence.
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Design, implement, ship, and maintain essential data pipelines that will be used by executive leadership to decide on business priorities
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Integrate tooling with internal and customer customer workflows along with cloud service providers to streamline incident management process
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Reduce the toil of running an incident, writing a postmortem, running an on call, etc
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Evangelize sustainable blameless incident prevention and incident response
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Consult with and provide consultation for peer teams on operations best practices.
What we need to see:
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BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.
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5+ years of experience.
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A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.
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Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud systems in production.
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Experience in one or more of the following: Python, Go, Typescript, C/C++, Java
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In depth knowledge in one or more of Linux, Networking, Storage, and Containers.
Ways to stand out from the crowd:
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Experience building and integrating with incident tooling such as FireHydrant, Rootly, incident.io, blameless. Experience building plugins, templates, and entity schemas in Backstage
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Background with infrastructure technologies such as Kubernetes, terraform, docker, helm charts. Experience with basic ML and data science concepts and tooling such as Hive, Apache Beam, Apache Spark, etc
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Experience with business analytics tooling such as Looker, Tableau. Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. 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. If you're creative and self-motivated, we want to hear from you! 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
The base salary range is 144,000 USD - 270,250 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.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
