PsiQuantum

PsiQuantum

Silicon Photonics Design Engineer

Palo Alto, California, United States · Full-time

Sponsorship not specified$130k-$145kDetected 72 days ago
PythonAlgorithmsPandasNumPyData AnalysisEMI/EMCElectrical EngineeringResearchCommunication

About the role

  • We are seeking a creative and innovative Silicon Photonics Design Engineer to help push the boundaries of high-performance fiber-to-chip coupling for quantum photonic integrated circuits. This role sits at the intersection of device physics, packaging, and experimental validation, and offers ownership across the full development cycle - from concept and simulation to tapeout support, testing, and model closure.
  • The ideal candidate is an all-rounder with strong fundamentals in integrated photonics, theoretical and practical knowledge of fiber-chip coupling, and the ability to translate experimental results into clear, data-driven design improvements. You will collaborate closely with photonic design, foundry, packaging, and test teams to deliver robust packaging solutions for next-generation quantum hardware.
  • We are seeking a creative and innovative Silicon Photonics Design Engineer to help push the boundaries of high-performance fiber-to-chip coupling for quantum photonic integrated circuits.

Responsibilities

  • Design, model, and analyze novel fiber-chip coupling concepts suitable for large-scale quantum computing systems.
  • Own coupling device development across the full lifecycle, including simulation, layout, experiment design, data analysis, and model closure.
  • Collaborate with test engineers to plan and execute automated, high-volume measurements, and develop new test methodologies as needed.
  • Work closely with foundry, packaging, and test teams to validate, screen, and continuously improve fiber-chip coupling performance.

Requirements

  • PhD or equivalent degree in Electrical Engineering, Physics, Materials Science, or a closely related field.
  • ~5 years of relevant industrial or academic research experience in integrated photonics.
  • Demonstrated expertise in fiber-chip coupling concepts and optical packaging.
  • Proficiency in Python for scientific computing and automation (e.g., NumPy, SciPy, Matplotlib, Pandas).
  • Experience with commercial photonic and electromagnetic simulation tools (e.g., Lumerical, Tidy3D).
  • Working proficiency in software engineering best practices, including version control and modular, maintainable code.
  • Hands-on experience with photonic packaging and assembly.
  • Familiarity with integrated photonics manufacturing processes.
  • Strong computational and analytical skills applied to photonic device design and performance evaluation.
  • In-depth understanding of photonic devices, performance metrics, and experimental characterization techniques.
  • Excellent written and verbal communication skills, with the ability to collaborate effectively across technical and non-technical teams.
  • Exposure to high-performance scientific computing.

Skills

  • Knowledge, Skills, and Abilities
  • Photonic layout experience using tools such as IPKISS, gdsfactory, or equivalent.

Compensation

  • $130,000 - $145,000 USD
  • Bay Area Pay Range
  • $145,000 - $165,000 USD
  • The ranges below reflect the target ranges for a new hire base salary.
  • U.S. Base Pay Range

Benefits

  • Full time roles are eligible for equity and benefits.

Company info

  • We are not accepting unsolicited resumes from employment agencies.
  • Base pay is only one part of the total compensation package.
  • 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.

Visa & Work Authorization

  • g 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, domesti

This listing is sourced directly from PsiQuantum's careers page and normalized into a canonical job model.