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Information Technology 🏒 Full Time ⭐️ Verified

Quantum AI Engineer

Nebula Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nebula Future Labs is seeking a visionary Quantum AI Engineer to join our elite R&D division. We are pioneering the next generation of artificial intelligence by integrating quantum computing power into scalable machine learning models. If you are passionate about solving the world's most complex computational problems and want to work in an environment that fosters radical innovation, we want to hear from you.

At Nebula Future Labs, we don't just build software; we engineer the future. Our team operates at the intersection of quantum physics and deep learning, aiming to achieve breakthroughs that standard classical computers cannot touch. As part of our 2026 strategic roadmap, you will play a pivotal role in transitioning our core products from prototype to production-ready systems.

Responsibilities

  • Design and develop novel quantum algorithms optimized for specific machine learning tasks.
  • Collaborate with cross-functional teams of physicists, data scientists, and software engineers to integrate quantum modules into existing AI infrastructure.
  • Conduct rigorous testing and benchmarking of quantum hardware and software stacks (e.g., Qiskit, Cirq).
  • Research and implement error mitigation techniques to improve the reliability of quantum computations.
  • Document technical findings and present complex concepts to both technical and non-technical stakeholders.
  • Stay abreast of the latest advancements in quantum computing to drive continuous innovation within the organization.

Qualifications

  • Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related quantitative field.
  • Proven experience in programming languages such as Python, C++, or Java, with specific experience in quantum computing libraries.
  • Deep understanding of linear algebra, probability theory, and optimization algorithms.
  • Strong background in classical machine learning frameworks (TensorFlow, PyTorch).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Experience with cloud computing platforms (AWS, Azure) is highly desirable.

Required Skills

Quantum Computing Machine Learning Python C++ Quantum Algorithms Qiskit TensorFlow AWS Error Mitigation Linear Algebra

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