About the role
<div class="content-intro"><p>Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.</p></div><div>Work at the intersection of ML, systems, and hardware. As a Machine Learning Engineer Intern at Tenstorrent, you'll help bring state-of-the-art models like LLMs and CNNs to life on custom AI hardware. You’ll collaborate with experts across software, compiler, and silicon teams while optimizing real workloads for real performance.<br><br>This role is a 6-month full-time, on-site internship based in our Warsaw, Poland office.</div> <div><br><br><strong>Who You Are</strong></div> <ul> <li>Enrolled in a Computer Science, Computer/Software Engineering, or Electrical Engineering program with strong fundamentals.</li> <li>Familiar with ML models and frameworks like PyTorch or TensorFlow.</li> <li>Comfortable programming in Python, C++, or CUDA.</li> <li>Curious about hardware and motivated by performance challenges.</li> </ul> <div><strong>What We Need</strong></div> <ul> <li>Analyze how ML models compile and run on Tenstorrent hardware.</li> <li>Improve kernels for computation and data movement.</li> <li>Run experiments to evaluate and improve performance across devices.</li> <li>Support benchmarking, CI pipelines, and robustness testing.</li> </ul> <div><strong>What You Will Learn</strong></div> <ul> <li>End-to-end model deployment on custom AI silicon.</li> <li>Compiler flows and kernel-level performance optimization.</li> <li>How to validate, benchmark, and productionize ML models.</li> <li>Cross-functional teamwork with compiler, hardware, and research teams.</li> </ul> <div><br><br><em>Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.</em></div><div class="content-conclusion"><p><em>This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure com