About the role
Mirendil Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We believe accelerating scientific discovery is one of the most powerful ways to improve the future of humanity, and that AI will play a central role in making that possible. We are building a frontier AI research company and training our own models end-to-end. Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments. Our team includes researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.
The Role We are looking for an engineer to design, implement, and optimize custom ML kernels that bolster our model development stack. Your work will be deep in the system, combining hardware and software insights to optimize performance. Some example areas you might work on (not limited to): Design and implement custom performant ML kernels that work at scale Identify inefficiencies and optimize compute-intensive workloads to reduce memory bandwidth bottlenecks and improve hardware utilization Enable and validate low-precision arithmetic formats and contribute to related compiler or runtime stacks If you're excited about working at the intersection of hardware and frontier AI research, we'd love to hear from you. We offer a base salary of $350,000–$500,000 USD and a meaningful equity grant, depending on experience and background, along with competitive
benefits.
