Quantum Error Correction Control Systems Engineer

At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud.

You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.

As a QEC Control Systems Engineer, you will work with a cross-disciplinary team of theorists, experimentalists, hardware designers and engineers to design and validate the control systems of fault tolerant quantum computers. In this role you will define and develop tools for scalable and highly-performant emulation, tracing, and debugging of system operation, and work with your team to rapidly prototype and evaluate novel ideas and approaches for our control architecture.

You will build realistic models and benchmarks of control system components, and their capabilities and constraints, which will enable evaluation of system operation, stress testing and resource estimation to drive improvements in architecture and individual component design.

Doctorate Degree

• Experience in the design, operation, emulation or construction of low-level control hardware or embedded software.
• Experience in prototyping, resource estimation, or system design of real-time software.
• Strong software experience (including at least one of Python, Rust, or C++).
• Experience collaborating with diverse, cross-disciplinary teams.

• Understanding of quantum information, quantum computing and quantum error correction.
• Experience with experimental real-time RF or microwave control systems, and associated tools for debugging.
• Experience designing and modeling distributed or heterogeneous control systems.
• Experience designing software and systems for rapidly evolving technology.
• Understanding of classical computer engineering and FPGA design/HDL.