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