Systems Research Engineer, GPU Programming

📋 Description Develop and optimize GPU-accelerated kernels and algorithms Co-design GPU kernels and model architectures with teams Collaborate with hardware and software teams on GPU architectures Stay current with GPU programming techniques and trends 🎯 Requirements Strong background in GPU programming and parallel computing (CUDA and/or Triton) Knowledge of ML/AI applications and models Experience with performance profiling and GPU optimization tools Excellent problem-solving and analytical skills Bachelor’s, Master’s, or Ph.D. in CS, EE or equivalent practical experience 🎁 Benefits Startup equity Health insurance Remote work flexibility Collaborative research-focused environment Opportunity to influence AI infrastructure design