Computational storage SSDs and controller silicon for AI data centers
ScaleFlux designs its own SSD controller ASICs and firmware, with a stack built on Verilog, SystemVerilog, UVM, Synopsys PrimeTime and Design Compiler alongside NVMe, NAND Flash and PCIe 4.0 through Gen 6 interfaces. Repeated pain points around timing closure on multi-million gate SoCs and mass production point to a company moving next-gen silicon from design into volume, while new marketing leadership hiring signals a push for enterprise SSD market awareness.
Notable leadership hires: Product Marketing Director
ScaleFlux is a privately held hardware company headquartered in Milpitas, California, founded in 2014 and employing 201–500 people. It builds storage and memory products, including enterprise SSDs built on custom ASIC and SoC designs, aimed at relieving data bottlenecks in AI and data center workloads. Its customers include hyperscalers, cloud providers and OEMs. Engineering spans chip design, firmware, FPGA work and system integration with host platforms, and the company hires in the United States and India.
ScaleFlux uses Verilog, SystemVerilog, UVM, Synopsys PrimeTime, Design Compiler, Tcl, Python, C++ and Perl for chip design, plus NVMe, NAND Flash, PCIe 4.0/5.0/Gen 6, JTAG and FPGA, with Jira and Confluence for collaboration.
Yes. Hiring is accelerating and engineering-led, skewed toward senior, lead and director roles, with additional openings in marketing including a Product Marketing Director, across the United States and India.
ScaleFlux is developing multi-core Arm SoCs, closing timing on high-performance ASICs with PrimeTime-based flows, integrating products with host platforms, and building reference architectures and proof-of-concept engagements.
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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.