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PsiQuantum

Utility-scale fault-tolerant photonic quantum computers

Intern – Software Engineering

Backend EngineeringPosted on Mar 25
Internship · Summer 2026Palo Alto, CA, USARemote

About the Job

Requirements

  • 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.

Responsibilities

  • Data platform governance and reliability: Implement governance patterns for datasets and run outputs (naming, lineage, access boundaries, catalog/volume organization).
  • Data platform governance and reliability: 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).
  • Monitoring, usage, and cost visibility: 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).
  • Job orchestration and software quality: 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).
  • Developer Experience simplification: Replace “follow the guide manually” with automation: preflight checks, actionable errors, and self-serve setup validation.

Desired 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.

About the Company

PsiQuantum

Utility-scale fault-tolerant photonic quantum computers

PsiQuantum builds quantum computers for utility-scale use, using photons as qubits and a semiconductor-friendly Omega chipset. The Omega platform combines high-performance single-photon sources, superconducting detectors, and optical switches to enable scalable chip-to-chip interconnects and precise quantum operations. It explores fault-tolerant methods like fusion-based quantum computation (FBQC) to improve error correction and resilience, targeting applications in chemistry, materials science, optimization, and cryptography. The company stands out by emphasizing manufacturability with standard semiconductor processes, large-scale chip integration, and collaborations with government and research institutions to push toward a practical, widely accessible quantum computer.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$2.9B
Headquarters
Palo Alto, CA
Founded
2015

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