CUDA Engineer

OverviewThis range is provided by Storm3. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range$200,000.00/yr - $350,000.00/yrDirect message the job poster from Storm3Come join a revolutionary AI research lab in SF Bay Area that is poised to develop & publish high-impact breakthroughs in GenAI - across LLMs and Multimodal AI.Opportunity to join as an early member in a rapidly growing team, led by A-listers in tech & academia. Seeking Engineers/Researchers skilled in GPU/CUDA kernel optimization and HPC optimization for large-scale deep learning clusters and infrastructure.ResponsibilitiesDesign and implement kernel optimizations to accelerate deep learning jobsImplement SOTA methods in high performance and parallel computingResearch and iterate on models to ensure optimal performanceWork collaboratively in a early-stage team to enhance their early GPU set-upRequirementsMS or PhD in Comp Sci, Comp Engineering, or related3+ years experience working with CUDA and deep learning optimization in HPC environmentProficiency in leveraging high compute GPU clustersWhy applyOpportunity to build out a new division at the forefront of AI innovationFAANG competitive salary & packageWork alongside superstars from FAANG labs & leading AI companiesMedical, Dental and Vision InsuranceInterested in applying? Please click on the ‘Easy Apply’ button or alternatively email your resume at levelMid-Senior levelEmployment typeFull-timeJob functionEngineering, Research, and Information TechnologyWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Created: 2025-09-17