{"schemaVersion":"jobsearcher.job.v1","id":"2adc6b58c37a69a3f9de060c","url":"https://jobsearcher.com/jobs/2adc6b58c37a69a3f9de060c","canonicalUrl":"https://jobsearcher.com/jobs/2adc6b58c37a69a3f9de060c","title":"Senior System Software Engineer – Dynamo Tools","description":"We are seeking a Senior System Software Engineer to own and advance the AI-Perf analysis, NVIDIA’s flagship framework for benchmarking, experimentation, and analysis of LLMs, Generative AI, and deep learning inference workloads. In this role, you’ll combine systems research, distributed systems engineering, and applied AI, enabling reproducible performance evaluation, influencing internal platforms, and providing tooling that empowers researchers and engineers globally.\nWhat you’ll be doing:\nLead the design, development, and roadmap of AI-Perf, defining benchmarking methodologies, performance metrics, and reproducible experimental workflows.\nBuild scalable and high-performance features to measure latency, throughput, and efficiency across AI models and distributed systems.\nPartner with AI researchers, platform teams, and engineers to translate experimental challenges into robust, user-friendly performance tooling.\nIntegrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users.\nWhat we need to see:\nBachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related field—or equivalent experience.\n3+ years of experience in systems software, distributed performance engineering, or AI infrastructure research.\nExpert-level Python skills, including profiling, optimization, automation, and debugging of complex systems.\nDeep knowledge of distributed systems concepts, including scalability, concurrency, fault tolerance, and performance trade-offs.\nWays to stand out from the crowd:\nExperience designing or maintaining performance benchmarking frameworks or tooling for AI/ML systems.\nHands-on experience with LLMs and deep learning frameworks such as PyTorch, TensorFlow, TensorRT, or ONNX Runtime.\nContributions to open-source or research projects in AI performance, infrastructure, or distributed systems.\nExperience running large-scale inference experiments across cloud and on-prem environments (AWS, Azure, GCP, bare metal).\nWhy you’ll love this role\nImpact at scale: Your work will define how AI performance is measured, optimized, and understood by engineers and researchers worldwide.\nInnovation and ownership: Lead a critical tool used by internal teams and external partners, shaping the AI benchmarking ecosystem.\nCollaborative research environment: Work closely with world-class AI researchers, engineers, and platform architects on cutting-edge inference challenges.\nVisibility and growth: Contribute to tooling that powers publications, benchmarks, and industry-leading AI performance insights.\nWith highly competitive salaries and a comprehensive benefits package, NVIDIA 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 and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!\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.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 24, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\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":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T23:33:11.093Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior System Software Engineer – Dynamo Tools","description":"We are seeking a Senior System Software Engineer to own and advance the AI-Perf analysis, NVIDIA’s flagship framework for benchmarking, experimentation, and analysis of LLMs, Generative AI, and deep learning inference workloads. In this role, you’ll combine systems research, distributed systems engineering, and applied AI, enabling reproducible performance evaluation, influencing internal platforms, and providing tooling that empowers researchers and engineers globally.\nWhat you’ll be doing:\nLead the design, development, and roadmap of AI-Perf, defining benchmarking methodologies, performance metrics, and reproducible experimental workflows.\nBuild scalable and high-performance features to measure latency, throughput, and efficiency across AI models and distributed systems.\nPartner with AI researchers, platform teams, and engineers to translate experimental challenges into robust, user-friendly performance tooling.\nIntegrate AI-Perf with the Dynamo Inference Stack, other NVIDIA inference stacks, and open-source inference frameworks, delivering end-to-end performance insights for researchers and production users.\nWhat we need to see:\nBachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, or related field—or equivalent experience.\n3+ years of experience in systems software, distributed performance engineering, or AI infrastructure research.\nExpert-level Python skills, including profiling, optimization, automation, and debugging of complex systems.\nDeep knowledge of distributed systems concepts, including scalability, concurrency, fault tolerance, and performance trade-offs.\nWays to stand out from the crowd:\nExperience designing or maintaining performance benchmarking frameworks or tooling for AI/ML systems.\nHands-on experience with LLMs and deep learning frameworks such as PyTorch, TensorFlow, TensorRT, or ONNX Runtime.\nContributions to open-source or research projects in AI performance, infrastructure, or distributed systems.\nExperience running large-scale inference experiments across cloud and on-prem environments (AWS, Azure, GCP, bare metal).\nWhy you’ll love this role\nImpact at scale: Your work will define how AI performance is measured, optimized, and understood by engineers and researchers worldwide.\nInnovation and ownership: Lead a critical tool used by internal teams and external partners, shaping the AI benchmarking ecosystem.\nCollaborative research environment: Work closely with world-class AI researchers, engineers, and platform architects on cutting-edge inference challenges.\nVisibility and growth: Contribute to tooling that powers publications, benchmarks, and industry-leading AI performance insights.\nWith highly competitive salaries and a comprehensive benefits package, NVIDIA 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 and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!\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.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until July 24, 2026.\nThis posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\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":"2026-08-03T23:33:11.093Z","dateModified":"2026-08-03T23:33:11.093Z","hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2adc6b58c37a69a3f9de060c"},"url":"https://jobsearcher.com/jobs/2adc6b58c37a69a3f9de060c"}}