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Mulya Technologies is seeking a Staff Engineer to design and deliver embedded firmware for memory fabrics, focusing on PCIe, CXL, and NVMe-based systems. You will develop firmware modules and services that power high-performance AI hardware.
The role requires 8–15 years in firmware for Server/Storage/Networking SoCs, strong C/C++ skills, RTOS/Zephyr experience, and familiarity with PCIe/NVMe controllers and DDR/AMBA interfaces. Collaborative across sites is expected.
We are redefining the economics of AI infrastructure. Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of hardware systems — a critical barrier to scalable adoption.
Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that is both scalable and energy-efficient. Unlike traditional interconnects, our solution reduces power consumption significantly while preserving high bandwidth and ultra-low latency — unlocking unprecedented efficiency for AI training and inference at scale.
Our architecture is not just an incremental improvement — it’s a foundational shift in how AI hardware is built for the future.
The responsibility of this role is to develop firmware modules and services for Memory fabrics products
Firmware is responsible for implementing and supporting the major differentiating features of products.