{"schemaVersion":"jobsearcher.job.v1","id":"789bb1b644a331b0c18c8236","url":"https://jobsearcher.com/jobs/789bb1b644a331b0c18c8236","canonicalUrl":"https://jobsearcher.com/jobs/789bb1b644a331b0c18c8236","title":"Senior Deep Learning Software Engineer, DLSim","description":"The DL Performance Modeling Team’s core mission is to deliver full stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software\n\nWe are now looking for a Deep Learning Software Engineer to help develop simulation infrastructure. The software rapidly assesses new AI-accelerating GPU hardware and software advancements.\n\nWhat you’ll be doing:\n\nDevelop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.\n\nImprove deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.\n\nAdvance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.\n\nPartner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.\n\nWhat we need to see:\n\nA Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.\n\n3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.\n\nStrong hands-on experience with MLIR and compiler infrastructure.\n\nExcellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.\n\nStrong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.\n\nWays to stand out from the crowd:\n\nExperience designing and building compiler frameworks or intermediate representations from the ground up.\n\nDeep understanding of LLM inference workloads and their implications for computer architecture.\n\nHands-on experience implementing and optimizing complex AI workloads on CPUs, GPUs, or custom accelerators.\n\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, collaborative and love a challenge, we want to hear from you!\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until August 28, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive 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":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-27T07:48:19.910Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Deep Learning Software Engineer, DLSim","description":"The DL Performance Modeling Team’s core mission is to deliver full stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software\n\nWe are now looking for a Deep Learning Software Engineer to help develop simulation infrastructure. The software rapidly assesses new AI-accelerating GPU hardware and software advancements.\n\nWhat you’ll be doing:\n\nDevelop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.\n\nImprove deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.\n\nAdvance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.\n\nPartner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.\n\nWhat we need to see:\n\nA Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.\n\n3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.\n\nStrong hands-on experience with MLIR and compiler infrastructure.\n\nExcellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.\n\nStrong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.\n\nWays to stand out from the crowd:\n\nExperience designing and building compiler frameworks or intermediate representations from the ground up.\n\nDeep understanding of LLM inference workloads and their implications for computer architecture.\n\nHands-on experience implementing and optimizing complex AI workloads on CPUs, GPUs, or custom accelerators.\n\nNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, collaborative and love a challenge, we want to hear from you!\n\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.\n\nYou will also be eligible for equity and benefits.\n\nApplications for this job will be accepted at least until August 28, 2026.\n\nThis posting is for an existing vacancy.\n\nNVIDIA uses AI tools in its recruiting processes.\n\nNVIDIA is committed to fostering an inclusive 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":"2026-08-27T07:48:19.910Z","dateModified":"2026-08-27T07:48:19.910Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"789bb1b644a331b0c18c8236"},"url":"https://jobsearcher.com/jobs/789bb1b644a331b0c18c8236"}}