Full Description

Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions with instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technology. Our team is dedicated to validating quantum computing routines to ensure they perform reliably on control hardware. We are looking for a passionate Software Engineer, prferably with a background in Quantum Computing, to join our Application Validation Team. You will play a key role in developing the applications, infrastructure, framework and algorithmics that are critical to the validation of quantum computing controllers. As a Software Engineer in the Application Validation Team, you will be responsible for building the infrastructure and developing the tools necessary to validate execution of quantum computing routines. You will work in the analysis of large datasets of measurement data and design software architectures that integrate real hardware with custom build quantum computing languages. You will also contribute to the development of automated testing systems and CI/CD pipelines, facilitating rigorous and automated validation. This position offers an exciting opportunity to work on cutting-edge quantum computing systems while collaborating with experts across software and hardware domains.

Responsibilities

Framework Development: Build and maintain a scalable framework to validate quantum routines on hardware

Software Architecture: Design software that efficiently connects measurement hardware and control systems

Algorithm Design: Develop and optimize algorithms for data processing of quantum computing routines

Routine Validation: Implement and validate scalable quantum routines across architectures

Data Handling: Process and integrate large real-time measurement datasets into the framework

Testing & CI/CD: Develop automated tests and CI/CD pipelines for continuous system validation

Interdisciplinary Collaboration: Partner with hardware, physics, and software teams to align framework with system needs

Requirements

M. Sc. or higher in software engineering, mathematics, electrical engineering, physicist or an equivalent field

• At least 5 years of hands-on programming experience
• Strong expertise in Python, including experience in data manipulation and analysis
• Solid background in designing software architectures that interact with real hardware, ensuring performance, scalability, and reliability