Quantum Machines Tech Stack

Quantum orchestration platform for control and scaling of quantum systems

Computer Hardware Manufacturing Claymont, United States 51–200 employees Privately Held

Quantum Machines builds a control and orchestration layer for quantum computers, with a tech stack that reflects deep hardware expertise: FPGA, SystemVerilog, ASIC design tools (Altium, LTspice), and embedded Linux, paired with compiler infrastructure (LLVM, MLIR) and real-time hybrid quantum/classical optimization. Engineering dominance in hiring (48 of 77 active roles, mostly senior-level) and active projects around SDK development, compiler optimization, and automated calibration signal a company scaling the technical surface area of quantum systems rather than horizontal product expansion.

Tech Stack 73 technologies

Core StackPython Linux Salesforce Java Kotlin Spring gRPC C++ Jira Workato I2C UART GPIO Altium LTspice ASIC Microsoft Office MLIR LLVM Altium Designer C/C++ FPGA PCIe AXI Embedded Linux SystemVerilog Vivado Verilog UVM FPGAs+43 more

AdoptingCilium

What Quantum Machines Is Building

◆Challenges

Manual calibration workflows
Scaling modern infrastructure
Value realization post-acquisition
Inorganic growth opportunities
Integration into quantum computing infrastructures
Troubleshooting integration issues on quantum hardware
Scaling quantum computing systems
Improving quantum algorithm performance
Recurrent software and hardware issues
Global customer support

▲Active Projects

Quantum computing sdk development
Technical implementation and integration of qm solutions
Automated calibration frameworks
Develop qm's compiler from proprietary quantum language to processor
Core backend software layer
Core infrastructure for a research compute datacenter
Exposing physics experiments as external saas services
Optimize compiler for real-time hybrid quantum/classical algorithms
Modern infrastructure scaling
Vip integration

Hiring Activity

Minimal75 roles · 8 in 30d

Department

Engineering

Sales

Support

Marketing

Ops

Product

Executive

Research

Seniority

Senior

Mid

Manager

Lead

Director

Intern

Junior

Principal

Notable leadership hires: Python Tech Lead

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About Quantum Machines

Quantum Machines develops the Quantum Orchestration Platform (QOP), a control software layer that bridges quantum processors and classical compute infrastructure. The platform addresses the core bottleneck in quantum system usability: reliable, scalable orchestration of quantum operations at the hardware level. Built by a team mixing quantum physicists, hardware engineers, and systems software developers, the company serves quantum system builders and research institutions. Current pain points center on manual calibration workflows, integration complexity with heterogeneous quantum hardware, and scaling infrastructure to support multiple quantum processors—all reflected in their active roadmap around automated calibration frameworks, compiler optimization for hybrid algorithms, and core datacenter infrastructure.

HeadquartersClaymont, United States

Company Size51–200 employees

Hiring MarketsIsrael, Japan, Denmark, Singapore, South Korea, Germany, United States, Netherlands

Frequently Asked Questions

What tech stack does Quantum Machines use?

Core stack includes Python, C/C++, FPGA/Verilog/SystemVerilog for hardware control, LLVM/MLIR for compiler infrastructure, gRPC for service communication, and embedded Linux. Design tools: Altium, LTspice, Vivado. Recently adopting Cilium for networking.

What is Quantum Machines working on?

Active projects include quantum SDK development, compiler optimization for real-time hybrid quantum/classical algorithms, automated calibration frameworks, core backend and infrastructure for research datacenters, and SaaS APIs for physics experiments. Current pain points: scaling infrastructure, manual calibration workflows, and troubleshooting hardware integration.