{"schemaVersion":"jobsearcher.job.v1","id":"144698f2a826b54c736b2977","url":"https://jobsearcher.com/jobs/144698f2a826b54c736b2977","canonicalUrl":"https://jobsearcher.com/jobs/144698f2a826b54c736b2977","title":"Research Scientist / Engineer - Performance Optimization","description":"View all jobs Research Scientist / Engineer – Performance Optimization SF Bay Area, CA Remote, International London, UK Systems Research & Engineering Remote Hybrid Full-time\n\nAbout Luma AI\nLuma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.\n\nAbout the Role\nThe Performance Optimization team at Luma is dedicated to maximizing the efficiency and performance of our AI models. Working closely with both research and engineering teams, this group ensures that our cutting‑edge multimodal models can be trained efficiently and deployed at scale while maintaining the highest quality standards.\n\nResponsibilities\n\nProfile and optimize GPU/CPU/Accelerator code for maximum utilization and minimal latency\n\nWrite high‑performance PyTorch, Triton, CUDA, deferring to custom PyTorch operations if necessary\n\nDevelop fused kernels and leverage tensor cores and modern hardware features for optimal hardware utilization on different hardware platforms\n\nOptimize model architectures and implementations for distributed multi‑node production deployment\n\nBuild performance monitoring and analysis tools and automation\n\nResearch and implement cutting‑edge optimization techniques for transformer model\n\nExperience\n\nExpert‑level proficiency in Triton/CUDA programming and GPU optimization\n\nStrong PyTorch skills\n\nExperience with PyTorch kernel development and custom operations\n\nProficiency with profiling tools (NVIDIA Nsight, torch profiler, custom tooling)\n\nDeep understanding of transformer architectures and attention mechanisms\n\n(Preferred) Experience with compilers/exporters such as torch.compile, TensorRT, ONNX, XLA\n\n(Preferred) Experience optimizing inference workloads for latency and throughput\n\n(Preferred) Experience with Triton compiler and kernel fusion techniques\n\n(Preferred) Knowledge of warp-level intrinsics and advanced CUDA optimization\n\nYour applications are reviewed by real people.\n\nCompensation\nThe base pay range for this role is $187,500 – $395,000 per year.\n\nAbout Luma\nLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.\n\n#J-18808-Ljbffr","company":"Luma","rawCompany":"luma","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:22:17.003Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"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":"Research Scientist / Engineer - Performance Optimization","description":"View all jobs Research Scientist / Engineer – Performance Optimization SF Bay Area, CA Remote, International London, UK Systems Research & Engineering Remote Hybrid Full-time\n\nAbout Luma AI\nLuma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.\n\nAbout the Role\nThe Performance Optimization team at Luma is dedicated to maximizing the efficiency and performance of our AI models. Working closely with both research and engineering teams, this group ensures that our cutting‑edge multimodal models can be trained efficiently and deployed at scale while maintaining the highest quality standards.\n\nResponsibilities\n\nProfile and optimize GPU/CPU/Accelerator code for maximum utilization and minimal latency\n\nWrite high‑performance PyTorch, Triton, CUDA, deferring to custom PyTorch operations if necessary\n\nDevelop fused kernels and leverage tensor cores and modern hardware features for optimal hardware utilization on different hardware platforms\n\nOptimize model architectures and implementations for distributed multi‑node production deployment\n\nBuild performance monitoring and analysis tools and automation\n\nResearch and implement cutting‑edge optimization techniques for transformer model\n\nExperience\n\nExpert‑level proficiency in Triton/CUDA programming and GPU optimization\n\nStrong PyTorch skills\n\nExperience with PyTorch kernel development and custom operations\n\nProficiency with profiling tools (NVIDIA Nsight, torch profiler, custom tooling)\n\nDeep understanding of transformer architectures and attention mechanisms\n\n(Preferred) Experience with compilers/exporters such as torch.compile, TensorRT, ONNX, XLA\n\n(Preferred) Experience optimizing inference workloads for latency and throughput\n\n(Preferred) Experience with Triton compiler and kernel fusion techniques\n\n(Preferred) Knowledge of warp-level intrinsics and advanced CUDA optimization\n\nYour applications are reviewed by real people.\n\nCompensation\nThe base pay range for this role is $187,500 – $395,000 per year.\n\nAbout Luma\nLuma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:22:17.003Z","dateModified":"2026-07-16T03:22:17.003Z","hiringOrganization":{"@type":"Organization","name":"Luma","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"144698f2a826b54c736b2977"},"url":"https://jobsearcher.com/jobs/144698f2a826b54c736b2977"}}