Systems Research Engineer, GPU Programming

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About this role

Systems Research Engineer, GPU Programming San Francisco About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. 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 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 About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower

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