Senior Software Engineer – Cloud and Kubernetes at Nvidia | Torre

Senior Software Engineer – Cloud and Kubernetes

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Full-time

Legal agreement: Employment

Compensation
USD184k - 287k/year
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Remote (for United States residents)
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Shared by
Diana Montoya
about 2 months ago

Requirements and responsibilities


NVIDIA is looking for an exceptional Senior Software Engineer – Cloud and Kubernetes to join its next-generation cloud infrastructure engineering team. If you are passionate about Kubernetes, distributed systems, HPC infrastructure, AI platforms, and scalable cloud technologies, this opportunity could be the perfect next step in your engineering career.NVIDIA is building some of the world’s most advanced AI supercomputing and cloud platforms powered by GPUs, BlueField DPUs, ConnectX networking, and Kubernetes-native infrastructure. This role offers the opportunity to work at the forefront of AI infrastructure, HPC, and large-scale distributed systems.We are seeking professionals with strong experience in:Kubernetes & Cloud-native InfrastructureDistributed Systems EngineeringGo, C, C++ & Rust DevelopmentHPC & AI Infrastructure PlatformsNVIDIA GPUs, DPUs & ConnectX TechnologiesCI/CD Pipelines & DevOps ToolingNetworking & Scalable Cloud ArchitecturesKubernetes Operators & ControllersKey ResponsibilitiesDesign and develop scalable cloud solutions accelerating AI and HPC workloadsContribute to NVIDIA’s next-generation AI supercomputing platformsBuild and maintain robust distributed software systemsCollaborate with cross-functional engineering teams to deliver innovative platform capabilitiesImprove scalability, reliability, and performance of cloud-native infrastructureDevelop Kubernetes-based solutions for high-performance AI environmentsRequired Skills & QualificationsBSc in Computer Science or equivalent practical experience7+ years of software development experienceStrong expertise in Go, C, C++, or RustHands-on experience with Kubernetes ecosystemsFamiliarity with CI/CD tools like Jenkins, GitLab, or GitHubStrong debugging and distributed systems engineering skillsExcellent communication and collaboration abilitiesWays to Stand OutExperience building Kubernetes operators/controllersBackground in AI infrastructure or HPC systemsStrong networking expertisePassion for scalable infrastructure and next-gen cloud platforms