Quantum EDA Software Engineer

At IBM Research, we are the innovation engine of IBM. Exploring what'ss 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. The successful candidate will join the quantum electronic design automation (EDA) effort at IBM Quantum and participate in development of the cutting-edge tools being used for designing quantum processor and testsite modules targeting IBM's proprietary superconducting technology. The role will be responsible for software engineering in support of the internal EDA ecosystem used to deliver IBM's flagship quantum processing units. The toolset of interest includes both internally developed software and industry-standard tools for hardware design, and the role requires strong spatial reasoning skills in addition to a core foundation in modern software engineering. Experience with EDA tool usage or development in the areas of routing and circuit optimization is strongly desired, as is the relevant mathematical expertise in optimization and graph theory. Experience with quantum computing hardware is also a bonus, but not required. Because the role includes collaboration between several diverse and dynamic teams of technical and operations personnel, good communication skills, initiative, and a strong sense of responsibility are key. Responsibilities include: - Building user-friendly, robust software tools for making quantum computing hardware - Participation in development of hardware design methodologies - Verification of tools using software development best practices - Development and implementation of algorithms for quantum computing hardware design - Active support/debug for tool end-users - Python (high familiarity) - Linux - Object-oriented programming - git - Spatial reasoning and quantitative geometric skills - Tcl - C++ - Rust - Experience with CI/CD pipelines - Background in optimization and graph theory - Industry-grade EDA tool experience (tools from Cadence, Synopsys, Keysight etc.)