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Quantum Ai Engineer Jobs (NOW HIRING)

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Engage in quantum engineering projects, applying principles of quantum mechanics to engineering ... AI based solutions in production. * Experience working on cutting-edge technologies to solve ...

CYNET SYSTEMS

Gen AI Engineer

Charlotte, NC · On-site

$57/hr

Strong programming skills in Python, React, Angular. * Experience with AWS cloud platform and ... Conduct R&D to explore new AI techniques and future technologies such as blockchain and quantum ...

Quantum Network Technologies, Inc.

Quantum Photonics Engineer About Qunett Qunett is developing the foundational hardware layer for ... Familiarity with modern software/AI-assisted tools for coding, optimization, and experiment control ...

QCi

Master's degree or quantum/AI focus preferred. * 5-8+ years in customerfacing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering ...

QCi

Master's degree or quantum/AI focus preferred. * 5-8+ years in customer-facing technical roles (Solutions Engineering, Sales Engineering, Technical Account Management, Customer Success Engineering ...

D-Wave Quantum

Senior AI DevOps Developer [584]

$133K - $170K/yr

D-Wave Quantum Inc. (NASDAQ: QBTS) is a leader in the development and delivery of quantum computing ... Engineer to join our Product Development team. In this role, you will design, build, deploy, and ...

Atom Computing

Quantum Engineer

Boulder, CO · On-site

$160K - $185K/yr

As a Quantum Engineer at Atom Computing, you will join a team of talented scientists and engineers ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Nvidia

Product Manager, AI for Quantum

OR · On-site +1

Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field ... Deep familiarity with AI and quantum computing research, particularly applications of AI to quantum ...

Nvidia

Product Manager, AI for Quantum

New York, NY · On-site +1

Collaborating with research, engineering, and product teams both across and outside NVIDIA to build the crucial AI models, tools, APIs, libraries, and workflows needed to accelerate quantum computing

Infleqtion

Quantum Integrations Engineer

Louisville, CO · On-site

$108K - $146K/yr

Build and maintain integrations with cloud, HPC, AI, and scientific-computing environments ... Collaborate with quantum software engineers to translate application prototypes and quantum ...

Infleqtion

Quantum Integrations Engineer

Louisville, CO · On-site

$108K - $146K/yr

Build and maintain integrations with cloud, HPC, AI, and scientific-computing environments ... Collaborate with quantum software engineers to translate application prototypes and quantum ...

Nvidia

Product Manager, AI for Quantum

Santa Clara, CA · On-site

Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field ... Deep familiarity with AI and quantum computing research, particularly applications of AI to quantum ...

Atom Computing

Quantum Engineer

Boulder, CO · On-site

$160K - $185K/yr

As a Quantum Engineer at Atom Computing, you will join a team of talented scientists and engineers ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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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.

Gen AI Engineer

Atlanta, GA • On-site

Fisec Global
IT Services • 201 - 500 employees
Learn more about Fisec Globalexternal

Other

Re-posted 23 days ago

Job description

Gen AI Engineer

Atlanta GA

Full time

Job Summary
We are seeking a highly skilled and motivated Engineer to join our dynamic team. The ideal candidate will have a strong background in engineering principles and practices, with expertise in model deployment, data mining, and database design. This role involves leveraging advanced technologies to solve complex problems and contribute to innovative projects.

Duties

  • Design, develop, and implement engineering solutions that meet project requirements.
  • Deploy machine learning models and ensure their effective integration into existing systems.
  • Utilize Hadoop for big data processing and analysis.
  • Conduct data mining to extract valuable insights from large datasets.
  • Collaborate with cross-functional teams to define project specifications and timelines.
  • Use Talend for data integration and transformation tasks.
  • Write efficient SQL queries for database management and reporting purposes.
  • Engage in quantum engineering projects, applying principles of quantum mechanics to engineering challenges.
  • Create and maintain databases, ensuring optimal performance and security.
  • Develop automation scripts using VBA to enhance operational efficiency.
  • Program applications in Java to support various engineering functions.
  • Apply unsupervised learning techniques to analyze unlabelled data and derive meaningful patterns.

Qualifications

  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns.