<p>As a member of the Dojo Machine Learning team, you will be responsible for developing and optimizing chip and system level simulation infrastructure for AI training workloads. The ideal candidate will have a strong background in computer architecture, analytical and cycle-based simulation, and AI workloads, with a passion for high-performance computing and complex systems modeling.</p> <ul> <li>Develop and validate microarchitecture simulations of a massively parallel machine for AI training, including system architecture, core architecture, memory hierarchy, and interconnects </li><li>Performance correlation, evaluation and debug of existing and future hardware implementations </li><li>Collaborate with architects and engineers to understand the requirements of the simulation and ensure that it accurately models the behavior of the system </li><li>Develop and maintain software frameworks and tools to support testing and deployment </li><li>Participate in code reviews, testing, and debugging to ensure high-quality software </li><li>Stay up-to-date with the latest developments in AI workloads, computer architecture, and simulation techniques </li><li>Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability </li><li>3+ years of experience in simulation development, computer architecture, and AI workloads </li><li>Strong understanding of CPU and/or GPU microarchitecture, including pipelining, caching, and memory hierarchy </li><li>Experience with analytical and cycle-based simulation techniques, including modeling of complex systems and validation of simulation results </li><li>Strong programming skills in languages such as C++ and Python. Parallel and distributed programming skills are a strong plus. </li><li>Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions </li><li>Strong communication and collaboration skills, with the ability to work effectively with Architects, Engineers, and Researchers </li></ul>