Systems Research Engineer, GPU Programming

<h3><strong>About the Role</strong></h3> <p>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.</p> <h3><strong>Requirements</strong></h3> <ul> <li>Strong background in GPU programming and parallel computing, such as CUDA and/or Triton.</li> <li>Knowledge of ML/AI applications and models</li> <li>Knowledge of performance profiling and optimization tools for GPU programming</li> <li>Excellent problem-solving and analytical skills</li> <li>Bachelor&39;s, Master&39;s, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences</li> </ul> <h3><strong>Responsibilities</strong></h3> <ul> <li>Optimize and fine-tune GPU code to achieve better performance and scalability</li> <li>Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems</li> <li>Stay up-to-date with the latest advancements in GPU programming techniques and technologies</li> </ul> <h3><strong>About Together AI</strong></h3> <p>Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI