{"schemaVersion":"jobsearcher.job.v1","id":"a3ebdd7c9b6c6a4e1a8bf610","url":"https://jobsearcher.com/jobs/a3ebdd7c9b6c6a4e1a8bf610","canonicalUrl":"https://jobsearcher.com/jobs/a3ebdd7c9b6c6a4e1a8bf610","title":"Software Architecture Engineer","description":"Be part of NVIDIA as a Software Architecture Engineer, and contribute to the development of brand new AI data centers and networks. Join a team of hard-working engineers and play a vital role in crafting the future of our powerful AI Cloud solutions. Grow within a dynamic, inclusive environment and make a lasting impact in the tech world.\n\nWhat you'll be doing:\nDesign and analyze end-to-end networking architectures for large-scale AI workloads and distributed training systems.\nPushing the boundaries of AI-cluster networking through performance modeling, simulation, and optimization techniques.\nDefining strategic networking solutions for NVIDIA's AI infrastructure in collaboration with adjacent software and hardware architects.\nCollaborating closely with cross-functional teams to research, prototype, and validate new networking technologies for AI applications.\n\nWhat we need to see:\nBachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience.\n5+ years of experience building large-scale distributed systems or performance-critical software.\nDeep understanding of deep learning systems, GPU acceleration, and AI model execution flows.\nSolid software engineering skills in C++ and/or Python, with strong familiarity with CUDA or similar platforms.\nStrong system-level thinking across memory, networking, scheduling, and compute orchestration.\nExcellent communication skills and ability to collaborate across diverse technical domains.\n\nWays to stand out from the crowd:\nThe position requires deep knowledge of networking protocols, system architecture, and end-to-end performance analysis.\nKnowledge in high-speed networking technologies, InfiniBand, Ethernet/IP, or data center networking.\nProven experience with network simulation tools, traffic analysis, or networking stack optimization.\nExperience in distributed AI training, parallel computing, or HPC cluster architectures.\nUnderstanding of GPU computing, CUDA programming, or AI/ML workload characteristics is a plus.\nWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most experienced and talented individuals in the world working for us. If you are creative, autonomous, and thrive on challenges, we want to hear from you.","company":"NVIDIA","rawCompany":"nvidia","city":"Denmark","state":"SC","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:28:53.265Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1241.00","title":"Computer Network Architects","slug":"computer-network-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Architecture Engineer","description":"Be part of NVIDIA as a Software Architecture Engineer, and contribute to the development of brand new AI data centers and networks. Join a team of hard-working engineers and play a vital role in crafting the future of our powerful AI Cloud solutions. Grow within a dynamic, inclusive environment and make a lasting impact in the tech world.\n\nWhat you'll be doing:\nDesign and analyze end-to-end networking architectures for large-scale AI workloads and distributed training systems.\nPushing the boundaries of AI-cluster networking through performance modeling, simulation, and optimization techniques.\nDefining strategic networking solutions for NVIDIA's AI infrastructure in collaboration with adjacent software and hardware architects.\nCollaborating closely with cross-functional teams to research, prototype, and validate new networking technologies for AI applications.\n\nWhat we need to see:\nBachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience.\n5+ years of experience building large-scale distributed systems or performance-critical software.\nDeep understanding of deep learning systems, GPU acceleration, and AI model execution flows.\nSolid software engineering skills in C++ and/or Python, with strong familiarity with CUDA or similar platforms.\nStrong system-level thinking across memory, networking, scheduling, and compute orchestration.\nExcellent communication skills and ability to collaborate across diverse technical domains.\n\nWays to stand out from the crowd:\nThe position requires deep knowledge of networking protocols, system architecture, and end-to-end performance analysis.\nKnowledge in high-speed networking technologies, InfiniBand, Ethernet/IP, or data center networking.\nProven experience with network simulation tools, traffic analysis, or networking stack optimization.\nExperience in distributed AI training, parallel computing, or HPC cluster architectures.\nUnderstanding of GPU computing, CUDA programming, or AI/ML workload characteristics is a plus.\nWith competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most experienced and talented individuals in the world working for us. If you are creative, autonomous, and thrive on challenges, we want to hear from you.","datePosted":"2026-04-14T10:28:53.265Z","dateModified":"2026-04-14T10:28:53.265Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denmark","addressRegion":"SC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a3ebdd7c9b6c6a4e1a8bf610"},"url":"https://jobsearcher.com/jobs/a3ebdd7c9b6c6a4e1a8bf610"}}