Semiconductor IP and chip design for AI memory and connectivity
Mulya Technologies is a 15-year-old semiconductor design house focused on memory controllers, mixed-signal chips, and connectivity IP for AI compute platforms. The stack reveals a mature hardware engineering operation: SystemVerilog, Verilog, VHDL, Synopsys DFT, Perforce, plus PCIe, NVLink, RDMA, and ASIC/FPGA tooling. The hiring mix is almost exclusively engineering (62 of 63 roles), concentrated at principal and senior levels, signaling deep domain expertise rather than rapid scaling — consistent with IP/silicon work that demands experience over headcount.
Notable leadership hires: Analog Design Lead, SoC Director
Mulya Technologies designs semiconductor intellectual property and chip products for data-center and AI infrastructure. The company operates a full-stack product engineering team working on memory controller IP for AI compute platforms, high-performance mixed-signal products, processor IP integration, and connectivity solutions (PCIe/CXL, isolation families). Active projects span pre- and post-silicon debug, yield optimization, and memory interface design. The organization is privately held, India-based, and currently hiring exclusively through the Indian market, with a focus on analog design, SoC architecture, and senior technical leadership roles.
SystemVerilog, Verilog, VHDL, C/C++, Python, Perforce, Synopsys DFT, ASIC, FPGA, Xilinx, QEMU, Docker, Kubernetes, and PCIe/NVLink/RDMA for high-performance interconnect.
Memory controller IP for AI compute platforms, high-performance mixed-signal chips, processor IP, PCIe/CXL-based memory expanders, and connectivity solutions including isolation product families.
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