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Mulya Technologies in Pune is seeking a Staff Engineer to develop firmware for memory fabric products, focusing on PCIe/CXL/NVMe protocols and RTOS environments. The role requires deep experience with on-chip microcontrollers and wide SoC interfaces, collaborating across architecture, QA, and product teams.
Your work will advance differentiating firmware features for high-performance AI hardware systems, with a strong emphasis on reliability and scalability in data-center environments.
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.
SUMIT S. B.
Mulya Technologies
sumit@mulyatech.com
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