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As a Staff Quantum Error Correction Engineer at IonQ, you will develop efficient simulation tools for quantum error correction modeling and simulations of trapped ion quantum computers. You'll work on implementing algorithms for QEC, supporting simulation needs, and building software infrastructure for circuit simulations at scale.

As a Staff Scientist - AMO Theory at IonQ, you will develop and analyze detailed models of ion-light interactions in QPUs, define technical requirements, and contribute to the improvement of quantum computing platforms. A PhD in Quantum Physics or related field, proficiency in Python, and experience in modeling complex quantum systems are required.

Seeking a Staff Engineer - Embedded Software to lead the development of real-time software for quantum control systems at IonQ. Responsible for designing, architecting, and expanding the capabilities of real-time control flow. Requires expertise in Rust, C, C++, and FPGA development.

IonQ is seeking a Staff Trap Designer to design and optimize ion traps for quantum computing platforms. Responsibilities include designing trap structures, conducting feasibility assessments, and collaborating with interdisciplinary teams. Ideal candidates have a PhD in physics or electrical engineering, experience with trapped ion systems, and proficiency in numerical physics simulations. Location: Remote.

Seeking a Senior Staff Theorist with expertise in quantum compilation to join the System Architecture and Performance team at IonQ. Responsibilities include leading the development of IonQ’s compiler roadmap, developing compilation techniques, and co-designing next-generation quantum processors.

Senior Staff Scientist specializing in quantum characterization and benchmarking at IonQ. Responsible for developing benchmarks to measure the performance of trapped-ion quantum processors and leading technical projects within the organization.

As a Staff Integrated Photonics Engineer at IonQ, you'll lead efforts in fabrication modeling and analysis of photonic integrated circuits (PICs) for quantum computing. You'll collaborate with fabrication engineers to improve device performance and integrate Design for Manufacturing techniques while managing projects effectively and communicating with team members.