Introduction IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. Your Role And Responsibilities 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. Preferred Education Doctorate Degree Required Technical And Professional Expertise 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. Preferred Technical And Professional Experience 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.