About the team

At Q-CTRL, Quantum Computing Engineering is a global team of software engineers and infrastructure experts, combining deep technical expertise with a startup mindset to deliver real impact through software innovation. Our work is underpinned by robust standards , and by embracing the three virtues . Our team excels in areas across back-end, front-end, machine learning, and platform engineering.

We transform Q-CTRL’s world-leading technological breakthroughs into commercial software products with applications across defense, research, and industry. We work closely with Product, Design, and Research teams to accelerate the path to quantum advantage worldwide.

About the role

As a Back-end Engineer on the Boulder Opal Scale Up team , you’ll be at the forefront of building the software backbone that powers the future of quantum technology. You’ll work side by side with brilliant engineers and researchers, designing and delivering scalable, high-performance systems that bring groundbreaking science into the real world.

From SDKs to cloud-based platforms , your work will shape the tools researchers and customers use every day. You’ll not only develop world-class backend systems but also help translate cutting-edge research into production-ready solutions, bridging the gap between quantum experiments and reliable software.

Responsibilities

• Build the backbone of quantum tech: Design, develop, and optimize scalable backend services in Python.
• Build impactful systems: Design, develop, and optimize scalable backend applications that power real-world quantum technology.
• Engineer for performance: Create high-efficiency service-to-service communication using modern protocols.
• Bridge science and engineering: Work hand-in-hand with researchers to translate cutting-edge research code into production-ready solutions, while sharing engineering best practices.
• Deliver end-to-end solutions: Partner with product, frontend, and infrastructure teams to ship integrated features used across Q-CTRL’s products.
• Shape reusable architectures: Develop product features that promote flexibility, reuse, and scalability across multiple business cases.

Qualifications

• 5+ years of backend engineering experience with Python, Rust, C++, or similar.
• A track record of collaborating across research and engineering to solve hard technical challenges.
• Strong understanding of domain driven design, service oriented architecture, asynchronous processing, and software testing.
• Experience designing, implementing, and maintaining efficient algorithms and statistical models.