Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leader in computer graphics and accelerated computing, seeking a Senior Software Engineer for their DGX Cloud organization. The role involves designing and developing software for Kubernetes clusters, collaborating with engineering teams, and automating processes to enhance cloud-native applications.
Responsibilities
- Be part of a small, dynamic team exploring innovative ways to simplify the development, deployment, and monitoring of GPU and DPU accelerated applications
- Design and develop software for managing a fleet of Kubernetes clusters for GPUs and DPUs
- Join the core group working on Cloud Native technologies, improving NVIDIA accelerators in the Kubernetes environment
- Collaborate with engineering teams across NVIDIA to ensure seamless integration of your software
- Automate and optimize build, test, integration, and release processes for cloud-native applications
- Efficiently multitask across different projects, addressing evolving priorities effectively
Skills
- BS/MS in Computer Science or related field (or equivalent experience)
- 10+ years of proven work experience in large scale environments
- Expert-level knowledge in systems programming languages (Go, C) with a solid grasp of Data Structures and Algorithms
- Strong understanding of Container Orchestration Systems (Kubernetes) and Container Technology
- In-depth knowledge and experience with Unix/Unix-like kernel internals, particularly Linux
- Hands-on automation experience with modern infrastructure tools and technologies
- Proven experience in setting up, maintaining, and automating continuous deployment systems
- Strong background in Cloud Computing and Distributed Software design and development
- Understanding of performance, security, and reliability in complex distributed systems
- Extensive experience with the Go programming language
- Deep understanding of rack-scale GPU systems
- Strong background with Gitlab, Argo, Flux, and other CI/CD systems
- Significant hands-on experience with Containers and Kubernetes
- Hands-on experience with container workload isolation and confidential computing
Benefits
- Comprehensive benefits package
- You will also be eligible for equity
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