{"schemaVersion":"jobsearcher.job.v1","id":"897049da12e30f89de70ecf4","url":"https://jobsearcher.com/jobs/897049da12e30f89de70ecf4","canonicalUrl":"https://jobsearcher.com/jobs/897049da12e30f89de70ecf4","title":"Senior Software Engineer","description":"GPU performance is becoming one of the biggest bottlenecks in AI infrastructure.I’m working with an early stage AI infrastructure company that is building software to make increasingly diverse compute architectures work together efficiently.They are looking for a Member of Technical Staff focused on Kernels and GPU Performance to help build the execution layer behind large scale AI workloads.This is a great opportunity for someone who enjoys getting close to the hardware and figuring out how to squeeze every bit of performance out of it.What you’ll be working on:• Build and optimize kernels for production AI workloads• Improve latency, throughput, and hardware utilization• Develop execution strategies across established and emerging accelerator architectures• Optimize memory efficiency, scheduling, and execution behavior• Work closely with compiler, runtime, and distributed systems engineers• Use profiling and performance analysis to identify and eliminate bottlenecks• Help shape how heterogeneous hardware is deployed and utilized• Establish performance engineering standards for the next generation of AI infrastructureStrong candidates will have:• Strong software engineering fundamentals• Experience working on performance critical systems close to hardware• A strong understanding of low level execution behavior and memory hierarchies• Experience with CUDA, Triton, CUTLASS, or similar accelerator programming models• Understanding of GPU execution models including warps, blocks, grids, or wavefronts• Experience optimizing memory access patterns, cache behavior, and shared memory• Familiarity with occupancy, latency hiding, and instruction level parallelism• Experience with multi GPU or distributed execution is a plus.The interesting part of this opportunity is the scope. You will not just be optimizing individual kernels. You will be working on the broader execution layer that determines how AI workloads get mapped onto increasingly diverse hardware.You’ll also be joining at an early stage, meaning there is significant opportunity to take ownership, work directly with the core engineering team, and have a real influence on the technical direction of the company.Compensation: $150K to $350K plus equityLocation: San Francisco, CA | On siteIf you have a background in GPU performance, CUDA, Triton, kernels, or low level systems and are interested in working on some of the harder problems in AI infrastructure, I’d love to connect.","company":"Ic Resources","rawCompany":"ic resources","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T14:38:56.581Z","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":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"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 Software Engineer","description":"GPU performance is becoming one of the biggest bottlenecks in AI infrastructure.I’m working with an early stage AI infrastructure company that is building software to make increasingly diverse compute architectures work together efficiently.They are looking for a Member of Technical Staff focused on Kernels and GPU Performance to help build the execution layer behind large scale AI workloads.This is a great opportunity for someone who enjoys getting close to the hardware and figuring out how to squeeze every bit of performance out of it.What you’ll be working on:• Build and optimize kernels for production AI workloads• Improve latency, throughput, and hardware utilization• Develop execution strategies across established and emerging accelerator architectures• Optimize memory efficiency, scheduling, and execution behavior• Work closely with compiler, runtime, and distributed systems engineers• Use profiling and performance analysis to identify and eliminate bottlenecks• Help shape how heterogeneous hardware is deployed and utilized• Establish performance engineering standards for the next generation of AI infrastructureStrong candidates will have:• Strong software engineering fundamentals• Experience working on performance critical systems close to hardware• A strong understanding of low level execution behavior and memory hierarchies• Experience with CUDA, Triton, CUTLASS, or similar accelerator programming models• Understanding of GPU execution models including warps, blocks, grids, or wavefronts• Experience optimizing memory access patterns, cache behavior, and shared memory• Familiarity with occupancy, latency hiding, and instruction level parallelism• Experience with multi GPU or distributed execution is a plus.The interesting part of this opportunity is the scope. You will not just be optimizing individual kernels. You will be working on the broader execution layer that determines how AI workloads get mapped onto increasingly diverse hardware.You’ll also be joining at an early stage, meaning there is significant opportunity to take ownership, work directly with the core engineering team, and have a real influence on the technical direction of the company.Compensation: $150K to $350K plus equityLocation: San Francisco, CA | On siteIf you have a background in GPU performance, CUDA, Triton, kernels, or low level systems and are interested in working on some of the harder problems in AI infrastructure, I’d love to connect.","datePosted":"2026-08-14T14:38:56.581Z","dateModified":"2026-08-14T14:38:56.581Z","hiringOrganization":{"@type":"Organization","name":"Ic Resources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"897049da12e30f89de70ecf4"},"url":"https://jobsearcher.com/jobs/897049da12e30f89de70ecf4"}}