Quantum Solutions Materials Theorist

Quantum computing holds the promise of humanitys mastery over the natural world but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real useful quantum computers capable of delivering the worldchanging applications that the technology has long promised. We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture and a data center footprint.

By harnessing the laws of quantum physics quantum computers can provide exponential performance increases over todays most powerful supercomputers offering the potential for extraordinary advances across a broad range of industries including climate energy healthcare pharmaceuticals finance agriculture transportation materials design and many more.

PsiQuantum has determined the fastest path to delivering a useful quantum computer years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier1 semiconductor fabs such as GlobalFoundries where we leverage highvolume semiconductor manufacturing processes the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons dont feel heat or electromagnetic interference allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity.

In 2024 PsiQuantum announced two governmentfunded projects to support the buildout of our first Quantum Data Centers and utilityscale quantum computers in Brisbane Australia and Chicago Illinois. Both projects are backed by nations that understand quantum computings potential impact and the need to scale this technology to unlock that potential. And we wont just be building the hardware but also the fault tolerant quantum applications that will provide industrytransforming results.

Quantum computing is not just an evolution of the decadesold advancement in compute power. It provides the key to mastering our future not merely discovering it. The potential is enormous and we have the plan to make it real. Come join us.

Theres much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!

Job Summary:

Are you passionate about advancing quantum materials theory and computational modeling As a Quantum Materials Theorist you will join an interdisciplinary team at the forefront of computational physics materials science machine learning and quantum technologies. This role offers the opportunity to develop and refine theoretical and computational approaches for understanding and predicting material properties contributing to nextgeneration technologies.

You will bring expertise in electronic structure theory manybody physics and computational methods to explore complex quantum materials and emergent phenomena. Your work will involve integrating conventional and emerging computational approaches incorporating insights from machine learning highperformance computing (HPC) and quantum computing to drive innovation in materials discovery and design.

This position provides the opportunity to engage in highimpact collaborative research working alongside specialists in quantum algorithms materials informatics computational physics chemistry and condensed matter modeling. If you thrive in an intellectually stimulating environment and enjoy tackling fundamental and computational challenges in quantum materials science we encourage you to apply.

This position requires a PhD in computational physics (or a closely related field) preferably with postdoctoral research experience (although postdoc experience is not mandatory). We are looking for a curious creative and interdisciplinary thinker with a comprehensive understanding of various computational physics chemistry and machine learning methodologies. The ideal candidate should be an avid reader of scientific literature have expertlevel handson coding experience (e.g. Python Fortran or C) and possess deep expertise and skills in methodology development which may include contributions to opensource atomistic simulation software packages. While prior knowledge of quantum information and faulttolerant quantum computing is highly preferred it is not required.

Responsibilities:

• Conduct theoretical and computational research in materials theory and simulations advancing methodologies for modeling electronic structure strongly correlated systems and emergent quantum phenomena.
• Develop computational workflows that integrate established and emerging techniques leveraging advances in highperformance computing (HPC) machine learning and quantum computing.
• Collaborate with quantum algorithm developers computational physicists and materials scientists to explore new frontiers in quantum materials modeling.
• Contribute expertise in electronic structure theory and manybody physics to research efforts focused on understanding and predicting material properties.
• Stay at the forefront of developments in computational materials science incorporating stateoftheart approaches into research projects.
• Serve as a technical leader in interdisciplinary collaborations working with internal and external teams on innovative solutions in quantum materials research.
• Engage in external partnerships scientific discussions and technical communication to support the broader research and application of advanced computational materials methodologies.
• Document research progress effectively and contribute to publications and externalfacing materials that highlight advances in the field.

Experience/Qualifications:

Required:

• Ph.D. in theoretical or computational physics or a closely related field with a focus on electronic structure and manybody physics.
• Strong foundation in electronic structure theory band structure calculations and computational modeling.
• Expertise in methodology development within density functional theory (DFT).
• Proficiency in scientific programming and algorithm development with experience in Python Fortran or C.
• Familiarity with highperformance computing (HPC) environments and largescale simulations.
• Enthusiasm for interdisciplinary collaboration working across physics chemistry materials science machine learning and computational research teams.
• Strong peerreviewed publication record.

Preferred:

• Experience with machine learning and datadriven approaches in computational modeling.
• Experience with quantum algorithms particularly their application to materials modeling and electronic structure problems.
• Familiarity with wavefunctionbased computational chemistry methodologies including coupledcluster configuration interaction (CI) and multireference methods.
• Expertise in manybody and strongly correlated systems including FermiHubbard models tensor networks and embedding theories.
• Handson coding experience with Wannier function calculations.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race color religion sex (including pregnancy childbirth or related medical conditions) gender identity gender expression national origin ancestry citizenship age physical or mental disability military or veteran status marital status domestic partner status sexual orientation genetic information or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to .

We are not accepting unsolicited resumes from employment agencies.