Quantum Computing
AI

Research Scientist - Quantum AI Photonic Chip Simulation

Quantum Computing · Hoboken, NJ, US

Actively hiring Posted about 1 month ago

Location: Hoboken, NJ

Department: Tomorrow

Reports to: Ting Bu

Position Overview

The Research Scientist will work on the modeling, simulation, and architectural development of

quantum and artificial intelligence (AI) computational structures intended for chip-scale

implementation. This role focuses on translating advanced quantum and AI concepts into

physically realistic, simulation-validated device and system designs suitable for fabrication. It

concentrates on high-fidelity simulation, feasibility analysis, and performance optimization under

practical fabrication constraints. The role serves as a technical bridge between the research

team developing novel quantum/AI architectures and the chip fabrication team responsible for

implementation, ensuring that proposed designs are physically realizable, scalable, and

performance-optimized prior to tape-out.

Duties and Responsibilities

  • Develop and simulate quantum and AI-based photonic architectures for on-chip

implementation.

  • Translate high-level computational concepts into device-level and system-level

simulation models.

  • Perform rigorous electromagnetic and multiphysics simulations to evaluate optical,

nonlinear, and quantum effects.

  • Model and simulate quantum photonic circuits and quantum gates under realistic device

conditions.

  • Analyze fabrication tolerances and material constraints to assess design robustness.

Optimize photonic device structures for performance, scalability, and manufacturability.

  • Collaborate closely with fabrication and packaging teams to ensure simulation models

align with process capabilities.

  • Support post-fabrication validation by correlating experimental results with simulation

predictions.

  • Document modeling methodologies, simulation results, and architectural trade-offs for

internal and external reporting.

Required Qualifications

Education

  • Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline.

Technical Background

  • Strong foundation in Photonics, Quantum optics, Nonlinear optics

  • Demonstrated experience in simulation of photonic integrated circuits.

  • Experience modeling and simulating quantum gates or quantum optical systems.

  • Understanding of semiconductor/TFLN and photonic chip fabrication processes sufficient

to incorporate realistic constraints into simulations.

  • Familiarity with chip testing and packaging considerations from a modeling perspective.

Software Proficiency

  • Lumerical (FDTD, MODE, INTERCONNECT)

  • Tidy3D

  • COMSOL Multiphysics

  • Python

  • MATLAB

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