Senior Quantum Applications Architect

the company's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.

Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry, including partners like Global Foundries, we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.

That approach has since been tested at the highest level of scrutiny the U.S. government applies to emerging technology, and it has held up. In 2025,the companyclosed a $1 billion funding round that valued the company at $7 billion. In 2026, the U.S. Department of Commerce signed a $100 million Letter of Intent under the CHIPS and Science Act, followed by a $125 million agreement with DARPA under Stage C of its Quantum Benchmarking Initiative,the company'smost valuable U.S. government agreement to date.

This year, we also broke ground on our utility-scale quantum computer in Brisbane, Australia, and continued building out our Chicago site. Victor Peng, our CEO, and co-founder Jeremy O'Brien, now Executive Chairman, lead a team and board that reflects how seriously the world is taking this build, joined this year by Intel's Lip-Bu Tan and Atomico's Niklas Zennström.

the companyalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies, including

Airbus,Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to prepare quantum solutions for real-world impact.

Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift, and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we now havethe funding,the government validation, andthe site sunder construction to make it real.

Within the Quantum Algorithms team, we develop and adapt quantum algorithms, identify and scope promising use cases, and analyze their resource requirements. In this role, you will translate computational tasks into abstract quantum-algorithm specifications, analyze their asymptotic performance, and define meaningful problem instances that lie beyond the practical reach of classical computation. You will also work closely with the company’s Compilation team to develop explicit implementations of these algorithms and evaluate their resource requirements on our architecture.

In this position, you will be expected not only to conduct outstanding individual research, but also to formulate and lead broader research programs that draw on the work of other researchers and collaborators. You will contribute to cross-team initiatives spanning the company’s applications, architecture, and compilation efforts, helping to connect algorithm design with the practical requirements of fault-tolerant quantum computation.

The role will also involve external collaboration. You will have the opportunity to lead projects with industrial and research partners, working with domain experts to identify important computational challenges, formulate them as well-defined problems, and map them to appropriate quantum algorithms. Success in this work requires the ability to communicate across disciplinary boundaries and to move fluently between real-world applications, mathematical abstractions, algorithmic complexity, and implementation-level resource analysis.

The ideal candidate combines deep technical expertise with scientific leadership, intellectual independence, and a collaborative mindset. They will be comfortable shaping open-ended research directions, assessing the practical significance of algorithmic advances, and guiding projects from the initial identification of an application through to a concrete fault-tolerant quantum…