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Quantum Ai Engineer Jobs (NOW HIRING)

Beyond SOF

AI Engineer

Washington, DC · On-site

$125 - $150/hr

Collaborate with quantum engineers to integrate quantum AI technologies into the company's projects. #J-18808-Ljbffr

Google Inc.

Systems Yield Engineer, Quantum AI

Goleta, CA · On-site

$150 - $200/hr

Share Systems Yield Engineer, Quantum AI * link * Copy link * Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics ...

The Pennsylvania State University

Collaborate with faculty and researchers across AI, quantum computing, cybersecurity, computer systems, mathematics, engineering, and policy to advance interdisciplinary research initiatives.

Google

Advanced Interconnect Lead, Quantum AI

Goleta, CA · On-site

$110K - $145K/yr

Microwave engineering experience. About the job As a Quantum Hardware Engineer for Advanced ... Google Quantum AI's mission is to build this computer and unlock solutions to classically ...

Google

Systems Yield Engineer, Quantum AI

Goleta, CA · On-site

About the job As a part of the Quantum Systems Yield Engineer, you will drive development and ... Google Quantum AI's mission is to build this computer and unlock solutions to classically ...

QCi

This role focuses on translating advanced quantum and AI concepts into physically realistic ... D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline. Technical ...

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Quantum Ai Engineer information

What is a Quantum AI Engineer?

A Quantum AI Engineer is a professional who combines expertise in quantum computing and artificial intelligence to develop algorithms, models, and software that leverage the power of quantum mechanics for advanced machine learning and data analysis tasks. These engineers work on designing and optimizing quantum algorithms, integrating them with AI frameworks, and exploring new ways to solve complex problems that are difficult for classical computers. They often collaborate with physicists, computer scientists, and data scientists to create innovative solutions in fields like cryptography, optimization, and materials science.

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

To thrive as a Quantum AI Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming, often backed by an advanced degree in computer science, physics, or a related field. Familiarity with quantum programming languages (like Qiskit or Cirq), classical AI frameworks (such as TensorFlow or PyTorch), and experience with quantum hardware or cloud platforms is typically required. Exceptional problem-solving skills, critical thinking, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies are essential for developing innovative solutions at the intersection of quantum computing and artificial intelligence, driving progress in a rapidly evolving technological landscape.

What are some typical challenges Quantum AI Engineers face when integrating quantum algorithms with existing AI systems?

Quantum AI Engineers often encounter challenges when bridging quantum computing with traditional AI frameworks. One key difficulty is translating classical AI algorithms into quantum-compatible formats, which requires a deep understanding of both quantum mechanics and machine learning principles. Additionally, the current limitations in quantum hardware mean engineers must optimize algorithms for noise and limited qubit counts while ensuring meaningful AI outcomes. Collaboration with data scientists and hardware specialists is essential to troubleshoot these integration hurdles and advance scalable quantum AI solutions.

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

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

Infographic showing various Quantum Ai Engineer 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.

AI Engineer

Washington, DC • On-site, Remote

Beyond SOF
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Beyond SOFexternal

Full-time

Re-posted 3 days ago

Job description

Role Summary:
The AI Engineer is responsible
for developing and
implementing artificial
intelligence solutions to solve
complex problems.
Main Responsibilities and duties:
Develop and implement
artificial intelligence solutions.
Collaborate with the
engineering team to integrate
AI solutions into projects.
Stay updated on the latest AI
technologies and trends.
Develop and implement
quantum-enhanced AI
solutions. Collaborate with
quantum engineers to
integrate quantum AI
technologies into the
company's projects.

Apply