Develops and optimizes GPU-accelerated kernels and algorithms for ML/AI applications, co-designing with modeling, hardware, and software teams. Requires strong GPU programming expertise in CUDA/Triton and knowledge of ML models.
160k – 230k
RemoteAI Research
About the role
Responsibilities
Optimize and fine-tune GPU code to achieve better performance and scalability
Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems
Stay up-to-date with the latest advancements in GPU programming techniques and technologies
Requirements
Strong background in GPU programming and parallel computing, such as CUDA and/or Triton
Knowledge of ML/AI applications and models
Knowledge of performance profiling and optimization tools for GPU programming
Excellent problem-solving and analytical skills
Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences
Compensation
US base salary range: $160,000 - $230,000 + equity + benefits. Competitive compensation with flexibility in remote work.
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