{"schemaVersion":"jobsearcher.job.v1","id":"5dedefe055ceacb80956fa4c","url":"https://jobsearcher.com/jobs/5dedefe055ceacb80956fa4c","canonicalUrl":"https://jobsearcher.com/jobs/5dedefe055ceacb80956fa4c","title":"Software Engineer - GPU Kernels","description":"ABOUT BASETEN\r\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\r\nTHE ROLE\r\nWe're seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.\r\nYou'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.\r\nEXAMPLE INITIATIVES\r\nYou'll get to work on these types of projects as part of our Model Performance team:\r\nBaseten Embeddings Inference: The fastest embeddings solution available\r\nThe Baseten Inference Stack\r\nDriving model performance optimization\r\nRESPONSIBILITIES\r\nCore Engineering Responsibilities\r\nDesign and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing\r\nWrite and optimize code using CUDA, PTX assembly, and architecture-specific techniques\r\nApply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap\r\nPerformance & Innovation\r\nImplement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap\r\nIdentify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler\r\nCollaborate with research teams to productionize theoretical advancements\r\nImpact & Collaboration\r\nContribute to internal and open-source GPU libraries\r\nPresent technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)\r\nREQUIREMENTS\r\nStrong understanding of GPU architecture and programming paradigms\r\nMemory hierarchy (global, shared, registers, L1/L2 cache)\r\nThread/block/grid organization\r\nSynchronization techniques and race condition mitigation\r\nProficient in C++ and GPU performance profiling tools\r\nKnowledge of\r\nCUDA C++ API\r\nMemory access patterns and bandwidth optimization\r\nNumerical precision and quantization strategies\r\nModern GPU features (e.g., tensor cores, async operations)\r\nNICE TO HAVE\r\nExperience with Transformer models and attention optimization (e.g., Flash Attention)\r\nFamiliarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB\r\nBackground in GEMM tuning and distributed/multi-GPU compute\r\nContributions to open-source GPU projects\r\nResearch publications or conference presentations on GPU performance\r\nBENEFITS\r\nCompetitive compensation, including meaningful equity.\r\n100% coverage of medical, dental, and vision insurance for employee and dependents\r\nFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\r\nPaid parental leave\r\nFertility and family-building stipend through Carrot\r\nCompany-facilitated 401(k)\r\nExposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\r\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\r\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\r\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).\r\nJ-18808-Ljbffr","company":"Consensus","rawCompany":"consensus","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:38:20.793Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer - GPU Kernels","description":"ABOUT BASETEN\r\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\r\nTHE ROLE\r\nWe're seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.\r\nYou'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.\r\nEXAMPLE INITIATIVES\r\nYou'll get to work on these types of projects as part of our Model Performance team:\r\nBaseten Embeddings Inference: The fastest embeddings solution available\r\nThe Baseten Inference Stack\r\nDriving model performance optimization\r\nRESPONSIBILITIES\r\nCore Engineering Responsibilities\r\nDesign and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing\r\nWrite and optimize code using CUDA, PTX assembly, and architecture-specific techniques\r\nApply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap\r\nPerformance & Innovation\r\nImplement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap\r\nIdentify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler\r\nCollaborate with research teams to productionize theoretical advancements\r\nImpact & Collaboration\r\nContribute to internal and open-source GPU libraries\r\nPresent technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)\r\nREQUIREMENTS\r\nStrong understanding of GPU architecture and programming paradigms\r\nMemory hierarchy (global, shared, registers, L1/L2 cache)\r\nThread/block/grid organization\r\nSynchronization techniques and race condition mitigation\r\nProficient in C++ and GPU performance profiling tools\r\nKnowledge of\r\nCUDA C++ API\r\nMemory access patterns and bandwidth optimization\r\nNumerical precision and quantization strategies\r\nModern GPU features (e.g., tensor cores, async operations)\r\nNICE TO HAVE\r\nExperience with Transformer models and attention optimization (e.g., Flash Attention)\r\nFamiliarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB\r\nBackground in GEMM tuning and distributed/multi-GPU compute\r\nContributions to open-source GPU projects\r\nResearch publications or conference presentations on GPU performance\r\nBENEFITS\r\nCompetitive compensation, including meaningful equity.\r\n100% coverage of medical, dental, and vision insurance for employee and dependents\r\nFlexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\r\nPaid parental leave\r\nFertility and family-building stipend through Carrot\r\nCompany-facilitated 401(k)\r\nExposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\r\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\r\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\r\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:38:20.793Z","dateModified":"2026-07-04T02:38:20.793Z","hiringOrganization":{"@type":"Organization","name":"Consensus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5dedefe055ceacb80956fa4c"},"url":"https://jobsearcher.com/jobs/5dedefe055ceacb80956fa4c"}}