Performance Engineer, GPU

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p> </p> <h2>About the role:</h2> <p>Pioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you&39;ll architect and implement the foundational systems that power Claude and push the frontiers of what&39;s possible with large language models. You&39;ll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.</p> <p>Working at the intersection of hardware and software, you&39;ll implement state-of-the-art techniques from custom kernel development to distributed system architectures. Your work will span the entire stack—from low-level tensor core optimizations to orchestrating thousands of GPUs in perfect synchronization.</p> <p>Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.</p> <h2>You might be a good fit if you:</h2> <ul> <li>Have deep experience with GPU programming and optimization at scale</li> <li>Are impact-driven, passionate about delivering measurable performance breakthroughs</li> <li>Can navigate complex systems from hardware interfaces to high-level ML fram