Intern, Software Engineering

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 is an internship opportunity under the Quantum Applications Software Architecture team. The intern will work with other software engineers across the company and department to build productionalized software solutions. They will help build and harden an internal automation platform that lets researchers run quantum-application workloads end-to-end with reproducible lineage and centralized storage.

A major part of the internship is improving the reliability governance and usability of the data/compute platform (Databricks AWS-backed storage) while also contributing to benchmarking and algorithm-adjacent components of the quantum workflow.

Responsibilities:

• Data platform governance and reliability
  • Implement governance patterns for datasets and run outputs (naming lineage access boundaries catalog/volume organization).
  • Improve dataset upload validation and guardrails to prevent accidental modification of unrelated storage paths and to enforce consistent metadata and file structure
• Monitoring usage and cost visibility
  • Build monitoring and reporting for compute usage and cost drivers (job frequency runtime GPU utilization proxies storage growth auto-termination effectiveness).
  • Deliver dashboards that make platform health and spend understandable to both engineers and researchers.
• Job orchestration and software quality
  • Refactor existing job setup / submission scripts into a maintainable testable OOP design (clear interfaces configuration objects reusable clients).
  • Improve workflow parameter handling for the two-stage pipeline (tensor factorization stage and QRE stage) and standardize outputs for downstream analysis.
• Developer Experience simplification
  • Reduce onboarding friction by abstracting authentication and setup into a single ergonomic path (e.g. a CLI/Python entry point that validates auth environment and required dependencies).
  • Replace follow the guide manually with automation: preflight checks actionable errors and self-serve setup validation.

Experience/Qualifications:

Minimum qualifications

• Currently pursuing BS/MS/PhD in Computer Science Engineering Physics Math or related field.
• Strong Python skills including clean API design OOP packaging and testing.
• Working knowledge of distributed/remote compute concepts (jobs clusters queues) and cloud storage fundamentals.
• Familiarity with quantum computing applications/algorithms (resource estimation quantum simulation or adjacent numerical methods); comfort with linear algebra and scientific computing.

Preferred qualifications

• Databricks experience (Jobs API/SDK workspace organization catalog/permissions patterns).
• AWS experience (S3 IAM/credentials handling boto3-style tooling cost monitoring patterns).
• Experience with scientific Python stacks and GPU compute (JAX/NumPy/SciPy; performance profiling).
• Exposure to quantum chemistry workflows tensor factorization or benchmark-driven research engineering.

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.

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.