Compiler Software Engineer, Staff

d-Matrix is at the forefront of addressing the critical challenges our customers face in the world of artificial intelligence. As generative AI continues to evolve and become more integral to business operations, the computational and energy costs associated with AI inference have become a significant bottleneck. Many enterprises struggle with the unsustainable trajectory of increasing energy consumption and the prohibitive costs of deploying large language models at scale. Our customers need a solution that doesn't just keep up with the rapid advancements in AI but makes them economically viable and sustainable for the long term. That's why we've dedicated ourselves to building a new paradigm for AI compute, one that moves beyond the limitations of current technologies.

Our solution, the Corsair™ platform, is a direct response to these customer challenges. We recognized that for our clients to truly unlock the potential of generative AI, they needed a purpose-built platform for inference that is both incredibly fast and remarkably efficient. We've engineered a groundbreaking digital in-memory compute (DIMC) architecture that fundamentally redefines the relationship between memory and compute. This allows our customers to run complex AI workloads with ultra-low latency and high throughput, enabling interactive and real-time applications that were previously out of reach. By focusing on a hardware-software co-design, we provide a seamless experience for developers, integrating with popular open-source frameworks like PyTorch. Ultimately, our goal is to empower our customers to innovate without compromise, providing them with a scalable, cost-effective, and energy-efficient path to deploying generative AI, ensuring they can stay competitive and build the next generation of AI-powered products and services.