ZipRecruiter

Log In

1

Quantum Ai Scientist Jobs (NOW HIRING)

The Pennsylvania State University

POSITION SPECIFICS The College of Information Sciences and Technology (IST) at Penn State invites ... AI-Driven Quantum Algorithm and Circuit Design: Develop AI-powered methods for the automated ...

QCi

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 ...

Oratomic

AI Scientist

Pasadena, TX · On-site

$250/hr

We are actively hiring AI scientists to take part in designing, building, and operating fault tolerant neutral atom quantum computers. You will work in a tight-knit team, and will be responsible for ...

Google Inc.

Systems Yield Engineer, Quantum AI

Goleta, CA · On-site

$150 - $200/hr

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a ... Google Quantum AI's mission is to build this computer and unlock solutions to classically ...

next page

Showing results 1-20

All JobsQuantum Ai Scientist Jobs

Quantum Ai Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do quantum ai scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for quantum ai scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Quantum AI Scientist?

Quantum AI Scientists are professionals who combine expertise in quantum computing and artificial intelligence to develop algorithms and models that leverage the power of quantum mechanics for solving complex problems. They work on designing quantum algorithms, optimizing machine learning models for quantum processors, and advancing research at the intersection of these two rapidly evolving fields. Their work has the potential to revolutionize areas such as cryptography, drug discovery, logistics, and materials science by harnessing computational capabilities beyond classical computers.

What are the key skills and qualifications needed to thrive as a Quantum AI Scientist?

To thrive as a Quantum AI Scientist, a deep understanding of quantum physics, machine learning, and advanced mathematics is essential, often supported by a PhD or advanced degree in a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum computing platforms, and proficiency in Python are typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration skills make individuals stand out in this role. These skills are vital for driving innovation at the intersection of quantum computing and artificial intelligence, enabling groundbreaking solutions to complex computational problems.

What are some of the biggest challenges Quantum AI Scientists face when collaborating with cross-disciplinary teams?

Quantum AI Scientists often work alongside professionals from diverse backgrounds such as computer science, physics, and engineering. One of the main challenges is bridging the knowledge gap between quantum computing concepts and traditional machine learning methods, ensuring effective communication and shared understanding. Scientists must translate complex theoretical ideas into practical solutions while being mindful of the team's varied expertise. Successful collaboration requires adaptability, patience, and a willingness to learn from others’ perspectives.

What is the difference between Quantum Ai Scientist vs Data Scientist?

AspectQuantum Ai ScientistData Scientist
Required CredentialsAdvanced degrees in quantum computing, AI, or related fields; knowledge of quantum algorithmsBachelor's or master's in data science, statistics, or computer science; programming skills
Work EnvironmentResearch labs, tech companies focusing on quantum computing and AIBusiness, finance, healthcare, tech firms analyzing large datasets
Industry UsageEmerging field combining quantum tech and AI applicationsWidespread across industries for data analysis and predictive modeling

While both roles involve AI and data analysis, Quantum Ai Scientists specialize in applying quantum computing principles to AI problems, often requiring advanced quantum physics knowledge. Data Scientists focus on analyzing large datasets using traditional computing methods. The roles differ mainly in technical expertise and application scope, but both are crucial in data-driven innovation.

What are popular job titles related to Quantum Ai Scientist jobs?

For Quantum Ai Scientist jobs, the most frequently searched job titles are:

Infographic showing various Quantum Ai Scientist job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Scientist - Quantum & AI Photonic Chip Simulation

Hoboken, NJ • On-site

QUANTUM COMPUTING, INC.
Computer and Peripheral Equipment Manufacturing • 51 - 200 employees
Learn more about QUANTUM COMPUTING, INC.external

$135K - $190K/yr

Full-time

Re-posted 17 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