NVMe and CXL storage hardware for AI and data center infrastructure
ScaleFlux designs and manufactures NVMe SSDs and CXL memory solutions for data center and AI workloads. The stack is pure silicon: Synopsys EDA (PrimeTime, Design Compiler), Verilog/SystemVerilog, ARM, RISC-V, and custom ASIC/SoC flows — reflecting a company building chips, not software. Active projects span PCIe Gen 5+ board design, multi-million-gate timing closure, and NAND controller development, with 13 of 14 recent hires in engineering (mostly senior and lead level), indicating aggressive RTL and validation hiring to ship complex silicon on schedule.
ScaleFlux manufactures enterprise-grade Flash storage and CXL memory products targeting AI, HPC, and data center customers. Founded in 2014 and based in Milpitas, the company operates as a silicon design and manufacturing outfit with ~200–500 employees. The product portfolio centers on NVMe SSDs and emerging CXL solutions designed to unlock performance and scalability in data-driven infrastructure. Engineering-centric operations focus on ASIC design, firmware, verification, and board-level validation across PCIe 5.0 and advanced NAND memory controllers.
Synopsys PrimeTime and Design Compiler for EDA, Verilog/SystemVerilog for RTL, ARM and RISC-V instruction sets, UVM for verification, C/C++ and Python for tooling, plus NVMe, PCIe 5.0, NAND Flash, and custom ASIC/SoC design methodologies.
High-speed PCIe Gen 5+ board design, NAND memory controller development, timing closure for complex multi-million-gate SoCs and ASICs, verification and validation workflows (GLS, emulation, FPGA, post-SI), and chip-level micro-architecture implementation.
Other companies in the same industry, closest in size
ScaleFlux's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.