Intern, Software Engineering Computational Chemistry

PsiQuantumsmission is to build the first useful quantum computersmachines 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 industryincluding partners like GlobalFoundrieswe use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdontfeel heat are immune to electromagnetic interference and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.

In 2024PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane Australia and Chicago Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically definingand that now is the time to scale.

PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application software and industry teams work directly with leading Fortune 500 companiesincluding Lockheed Martin Mercedes-Benz Boehringer Ingelheim and Mitsubishi Chemicalto prepare quantum solutions for real-world impact.

Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shiftand a path to mastering challenges that cannot besolvedany other way. The potential is enormous and we have a clearpathto make it real.

Come join us.

Job Summary:

This intern will support a team building and operationalizing a scalable scientific computing workflow that connects domain-specific data preparation algorithmic processing and downstream analysis. The intern will contribute to improving reliability portability across compute environments and usability through automation validation and measurement tooling working closely with researchers and engineers.

Responsibilities:

• Contribute to hardening a chemistry-to-quantum resource estimation pipeline: robustness scalability reproducibility and push-button usability.
• Implement and validate stable interfaces/data contracts between core modules (inputs/outputs/metadata/schema checks).
• Help automate execution of a predefined benchmark suite across both cloud GPU environments and internal HPC clusters (job submission retries artifact collection deterministic configs).
• Support expansion of an end-to-end scientific computation workflow by implementing integration layers validation and test coverage for new upstream inputs additional computational backends and alternative algorithmic paths within a single consistent execution framework.
• Implement a representative application workflow that exercises the pipeline across a structured set of related inputs (parameter sweeps) automates repeated executions aggregates outputs into analysis-ready artifacts and documents key assumptions approximations and major sources of error/uncertainty.
• Implement secure automated sharing of HPC outputs to cloud object storage (e.g. S3) for downstream analysis and collaboration.

Experience/Qualifications:

Minimum qualifications

• Enrolled in a BS/MS/PhD in CS EE Physics Chemistry Applied Math or related field.
• Strong Python software engineering: clean APIs testing packaging logging configuration management.
• Familiarity with quantum computing applications/algorithms (resource estimation simulation or related) sufficient to validate computational outputs.
• Solid scientific computing foundations (linear algebra numerical methods data handling).
• Experience with quantum chemistry workflows (molecular geometries integrals formats active space concepts common solver outputs).

Preferred qualifications

• Experience with HPC environments (batch schedulers containers/modules scaling reproducible runs).
• Experience designing benchmark harnesses and performance profiling.
• Experience with cloud object storage and data pipelines (S3-style storage provenance/metadata artifact versioning).

U.S. Intern Hourly Pay Rate Chart

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.

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