{"schemaVersion":"jobsearcher.job.v1","id":"fa5fc77b5b983ba601152de7","url":"https://jobsearcher.com/jobs/fa5fc77b5b983ba601152de7","canonicalUrl":"https://jobsearcher.com/jobs/fa5fc77b5b983ba601152de7","title":"Solution Architect - OEM AI Software","description":"NVIDIA is seeking outstanding Solutions Architect to help grow our OEM enterprise AI business. At NVIDIA, our solutions architects work across different teams and enjoy helping partners and customers with the latest Accelerated Computing and Generative AI, and AI Factory deployments. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our OEM partners and work on exciting software solutions focused on enabling enterprise Generative AI workflows. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!\nWhat You Will Be Doing:\nWorking with our OEM partners to architect enterprise-grade end-to-end generative AI SW solutions.\nCollaborate closely with OEM partners' SW development teams to help craft world-class joint AI solutions.\nCollaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of Generative AI capabilities.\nWork closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software.\nEngage directly with customers/partners to understand their requirements and challenges.\nLead workshops and design sessions to define and refine generative AI solutions with a strong emphasis on enterprise workflows.\nImplement strategies for efficient and effective training of LLMs to achieve peak performance.\nDesign and implement RAG-based workflows to improve content generation and information retrieval.\nWhat We Need To See:\n3-5+ years of hands-on experience as a solution architect or similar with a specific focus on AI solutions.\nBS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)\nProven track record of successfully deploying and optimizing Generative AI models for inference in production environments.\nExpertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.\nProficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs.\nSolid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.\nExcellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical collaborators.\nExperience leading workshops, training sessions, and presenting technical solutions to diverse audiences.\nWays To Stand Out From The Crowd:\nExperience in deploying Generative AI models in cloud environments and on-premises infrastructures.\nExperience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM.\nProven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.\nFamiliarity with Docker or equivalent experience in containerization technologies and Kubernetes for scalable and efficient model deployment.\nDeep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 29, 2025.\nNVIDIA 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.","company":"NVIDIA","rawCompany":"nvidia","city":"Winters","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-12T21:26:14.827Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"Solution Architect - OEM AI Software","description":"NVIDIA is seeking outstanding Solutions Architect to help grow our OEM enterprise AI business. At NVIDIA, our solutions architects work across different teams and enjoy helping partners and customers with the latest Accelerated Computing and Generative AI, and AI Factory deployments. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our OEM partners and work on exciting software solutions focused on enabling enterprise Generative AI workflows. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!\nWhat You Will Be Doing:\nWorking with our OEM partners to architect enterprise-grade end-to-end generative AI SW solutions.\nCollaborate closely with OEM partners' SW development teams to help craft world-class joint AI solutions.\nCollaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of Generative AI capabilities.\nWork closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software.\nEngage directly with customers/partners to understand their requirements and challenges.\nLead workshops and design sessions to define and refine generative AI solutions with a strong emphasis on enterprise workflows.\nImplement strategies for efficient and effective training of LLMs to achieve peak performance.\nDesign and implement RAG-based workflows to improve content generation and information retrieval.\nWhat We Need To See:\n3-5+ years of hands-on experience as a solution architect or similar with a specific focus on AI solutions.\nBS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)\nProven track record of successfully deploying and optimizing Generative AI models for inference in production environments.\nExpertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers.\nProficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs.\nSolid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.\nExcellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical collaborators.\nExperience leading workshops, training sessions, and presenting technical solutions to diverse audiences.\nWays To Stand Out From The Crowd:\nExperience in deploying Generative AI models in cloud environments and on-premises infrastructures.\nExperience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM.\nProven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.\nFamiliarity with Docker or equivalent experience in containerization technologies and Kubernetes for scalable and efficient model deployment.\nDeep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 29, 2025.\nNVIDIA 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.","datePosted":"2026-04-12T21:26:14.827Z","dateModified":"2026-04-12T21:26:14.827Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Winters","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fa5fc77b5b983ba601152de7"},"url":"https://jobsearcher.com/jobs/fa5fc77b5b983ba601152de7"}}