Quantum control hardware and orchestration software for quantum system builders
Quantum Machines builds the control layer for quantum computers: FPGA-based hardware (SystemVerilog, UVM, Xilinx Versal and Zynq) paired with an LLVM-based compiler and C++/Python, Java/Kotlin and gRPC software. The job-post themes of low-latency RTL, automated calibration and a proprietary-language compiler show an engineering-first company, with support, sales and marketing hiring pointing to a customer-deployment push across Asia, Europe and Israel.
Notable leadership hires: Backend Tech Lead, QA & Automation Lead
Quantum Machines develops the Quantum Orchestration Platform, a combined hardware and software system used to control and operate quantum processors. Its customers are teams building quantum computing systems. The company was founded in 2018, is privately held, and employs 201–500 people, with headquarters in Claymont, United States. It hires across Israel, the United States, Germany, Hungary, Japan, Singapore and South Korea, covering engineering, customer support, sales, marketing and product functions.
Hardware work runs on SystemVerilog, Verilog, UVM, Vivado and Xilinx Versal/Zynq FPGAs; software uses C++, Python, LLVM, Java, Kotlin, Spring and gRPC, with React, Angular and WebGL on the front end and Salesforce for sales.
Quantum Machines hires in Israel, the United States, Germany, Hungary, Japan, Singapore and South Korea, mostly for engineering plus support, sales and marketing roles.
Current work includes a compiler from its proprietary quantum language to its own processor, automated calibration frameworks, quantum control software architecture, low-latency RTL design and a new verification environment.
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Quantum Machines'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.