{"schemaVersion":"jobsearcher.job.v1","id":"36f23d092bdc873239a1a574","url":"https://jobsearcher.com/jobs/36f23d092bdc873239a1a574","canonicalUrl":"https://jobsearcher.com/jobs/36f23d092bdc873239a1a574","title":"Machine Learning Engineer - Kernels","description":"About Mindbeam Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level. Mission Push the boundaries of performance by developing custom kernels and low-level optimizations for next-generation AI workloads. Role Expectations • Design and implement custom GPU/accelerator kernels to maximize performance. • Profile, benchmark, and optimize critical ML workloads. • Collaborate with researchers to translate algorithmic advances into efficient, production-ready code. • Stay current with hardware advancements (CUDA, ROCm, TPU) to inform kernel design. • Document and share best practices for low-level optimization. Background • Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or related field—or equivalent experience. • 2+ years of experience in GPU programming, parallel computing, or systems-level optimization. • Strong coding skills in C++, CUDA, or similar languages. • Familiarity with ML frameworks and their low-level backends. • Experience optimizing workloads for distributed and heterogeneous compute environments. • Comfort with profiling tools and performance diagnostics. About You You are detail-oriented, performance-obsessed, and excited by the challenge of squeezing out every ounce of compute efficiency. xhyhwjd You enjoy working at the intersection of algorithms and hardware, and you thrive in a collaborative environment where bold ideas are encouraged.","company":"Mindbeam","rawCompany":"mindbeam","city":"United","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-08-21T12:51:48.301Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer - Kernels","description":"About Mindbeam Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. We are building the next-generation AI infrastructure for open source and enterprise. Our work is deeply research-oriented and passionate about developing ground-breaking innovations to take state-of-the-art AI applications to the next level. Mission Push the boundaries of performance by developing custom kernels and low-level optimizations for next-generation AI workloads. Role Expectations • Design and implement custom GPU/accelerator kernels to maximize performance. • Profile, benchmark, and optimize critical ML workloads. • Collaborate with researchers to translate algorithmic advances into efficient, production-ready code. • Stay current with hardware advancements (CUDA, ROCm, TPU) to inform kernel design. • Document and share best practices for low-level optimization. Background • Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or related field—or equivalent experience. • 2+ years of experience in GPU programming, parallel computing, or systems-level optimization. • Strong coding skills in C++, CUDA, or similar languages. • Familiarity with ML frameworks and their low-level backends. • Experience optimizing workloads for distributed and heterogeneous compute environments. • Comfort with profiling tools and performance diagnostics. About You You are detail-oriented, performance-obsessed, and excited by the challenge of squeezing out every ounce of compute efficiency. xhyhwjd You enjoy working at the intersection of algorithms and hardware, and you thrive in a collaborative environment where bold ideas are encouraged.","datePosted":"2026-08-21T12:51:48.301Z","dateModified":"2026-08-21T12:51:48.301Z","hiringOrganization":{"@type":"Organization","name":"Mindbeam","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"36f23d092bdc873239a1a574"},"url":"https://jobsearcher.com/jobs/36f23d092bdc873239a1a574"}}