This is a fully remote position, open to applicants in California, +1 more state.

• Lead and shape the future of cloud computing through ambitious projects.

• Investigate innovative methods to enhance the development, deployment, and monitoring of GPU- and DPU-accelerated applications.

• Design and create software for managing fleets of Kubernetes clusters utilizing GPUs and DPUs.

• Enhance NVIDIA accelerators in Kubernetes environments by leveraging Cloud Native technologies.

• Collaborate with engineering teams across NVIDIA to ensure seamless software integration.

• Automate and optimize the build, test, integration, and release processes for cloud-native applications.

• Manage multiple projects and adapt to changing priorities.

• BS/MS in Computer Science or a related field, or equivalent practical experience.

• Over 15 years of demonstrated work experience in large-scale environments.

• Expert-level proficiency in Go and C programming languages.

• Strong understanding of data structures and algorithms.

• Comprehensive knowledge of Kubernetes and container technologies.

• Profound understanding of Unix/Unix-like kernel internals, especially Linux.

• Practical automation experience with modern infrastructure tools and technologies.

• Proven track record in setting up, maintaining, and automating continuous deployment systems.

• Strong background in cloud computing as well as distributed software design and development.

• Awareness of performance, security, and reliability within complex distributed systems.

• Extensive experience with Go programming.

• Deep knowledge of rack-scale GPU systems.

• Strong experience with GitLab, Argo, Flux, and other CI/CD systems.

• Significant hands-on experience with containers and Kubernetes.

• Direct experience with container workload isolation and confidential computing.

• Competitive salaries.

• Generous benefits package.

• Equity options.

• Additional benefits.

Principal Software Engineer – DGX Cloud

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