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Information Technology 🏢 Full Time ⭐️ Verified

Senior Quantum AI Engineer (2026 Roadmap)

Chronos Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are looking for a visionary Senior Quantum AI Engineer to join our elite team in Austin. As we prepare for the 2026 Horizon Initiative, you will be at the forefront of developing the next generation of computing technologies. You will bridge the gap between classical machine learning and quantum computing, creating scalable solutions that define the future of technology.

Why Join Us?

At Chronos Systems, we don't just predict the future; we build it. You will have the opportunity to work with state-of-the-art hardware, mentor a team of talented developers, and drive innovation that will be industry-defining for the next decade.

Key Responsibilities:

  • Design and implement quantum algorithms to solve complex computational problems.
  • Collaborate with hardware engineers to optimize quantum circuits for NISQ (Noisy Intermediate-Scale Quantum) devices.
  • Develop hybrid classical-quantum machine learning models to enhance predictive analytics.
  • Conduct cutting-edge research in quantum error correction and fault tolerance.
  • Mentor junior engineers and researchers, fostering a culture of innovation and excellence.
  • Translate theoretical research into production-ready code and prototypes.

Qualifications:

  • Ph.D. in Computer Science, Physics, Mathematics, or a related field (or equivalent industry experience).
  • Deep understanding of quantum mechanics and quantum information theory.
  • Proficiency in quantum programming languages and frameworks such as Qiskit, Cirq, or PyQuil.
  • Strong Python programming skills with experience in libraries like TensorFlow or PyTorch.
  • Experience with cloud-based quantum computing platforms (e.g., AWS Braket, Azure Quantum).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Responsibilities

  • Design and implement quantum algorithms to solve complex computational problems.
  • Collaborate with hardware engineers to optimize quantum circuits for NISQ (Noisy Intermediate-Scale Quantum) devices.
  • Develop hybrid classical-quantum machine learning models to enhance predictive analytics.
  • Conduct cutting-edge research in quantum error correction and fault tolerance.
  • Mentor junior engineers and researchers, fostering a culture of innovation and excellence.
  • Translate theoretical research into production-ready code and prototypes.

Qualifications

  • Ph.D. in Computer Science, Physics, Mathematics, or a related field (or equivalent industry experience).
  • Deep understanding of quantum mechanics and quantum information theory.
  • Proficiency in quantum programming languages and frameworks such as Qiskit, Cirq, or PyQuil.
  • Strong Python programming skills with experience in libraries like TensorFlow or PyTorch.
  • Experience with cloud-based quantum computing platforms (e.g., AWS Braket, Azure Quantum).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Quantum Computing Machine Learning Python C++ TensorFlow Qiskit Cloud Computing Research Algorithms

Ready to Take This Challenge?

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