仕事内容
<h3><strong>About The Role</strong></h3>
<p>As a Systems Research Engineer Intern 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>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>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>
</ul>
<h3><strong>Internship Program Details</strong></h3>
<p>Our fall internship program spans over 12 to 16 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th. </p>
<h3><strong>About Together AI</strong></h3>
<p>Together AI is a research-driven artificial intelligence company. We believe open and