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Quantum Ai Jobs (NOW HIRING)

The Pennsylvania State University

This advertisement is for the Quantum + AI position and is intended for applicants whose research advances the development and application of AI methods for quantum computing, as well as the use of ...

QCi

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 ...

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How much do quantum ai jobs pay per year?

As of Aug 16, 2026, the average yearly pay for quantum ai in the United States is $135,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,500.00 and $142,500.00 per year, depending on experience, location, and employer.

What is a Quantum AI?

A Quantum AI job involves developing algorithms and models that leverage quantum computing principles to enhance artificial intelligence applications. Professionals in this field work on quantum machine learning, optimization problems, and data processing using quantum computers. They typically have expertise in quantum mechanics, computer science, and AI. Roles may include research scientists, software engineers, or data scientists specializing in quantum algorithms.

What types of projects might I work on as part of a Quantum AI team?

As a Quantum AI professional, you'll often work on projects that merge quantum algorithms with machine learning methods to solve complex problems in fields such as optimization, data analysis, encryption, or material discovery. Collaboration is frequently required with quantum physicists, AI researchers, and software engineers to prototype models, test quantum circuits, and analyze computational results. Your daily tasks might include coding, running quantum experiments, reviewing scientific literature, and presenting findings to both technical and non-technical audiences. These projects often push the boundaries of what's currently possible, offering a dynamic and intellectually stimulating work environment.

What are the key skills and qualifications needed to thrive in the Quantum AI position, and why are they important?

To thrive in a Quantum AI role, you need a strong background in quantum computing, machine learning, linear algebra, and advanced programming, typically supported by a graduate degree in computer science, physics, or a related field. Experience with programming languages such as Python, Qiskit, or Cirq, and familiarity with quantum simulation platforms or cloud quantum services, are highly valued. Creativity, problem-solving skills, and the ability to collaborate across interdisciplinary teams help you stand out. These abilities are crucial for developing, optimizing, and deploying innovative AI solutions on quantum hardware in a rapidly evolving technology landscape.

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Quantum Ai jobs near you
Infographic showing various Quantum Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $135,000 per year, or $64.9 per hour.

Research Scientist - Quantum & AI Photonic Chip Simulation

QUANTUM COMPUTING, INC.

Hoboken, NJ

$135K - $190K/yr

Full-time

Re-posted 23 days ago

Job description

Job Title: Research Scientist – Quantum & AI Photonic Chip Simulation

Location: Hoboken, NJ

Division: Executive

Department: Tomorrow


About Us

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company’s portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.

Position Description

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

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990