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Information Technology 🏢 Full Time ⭐️ Verified

Senior Quantum AI Integration Engineer

Nebula Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of computing?

Nebula Dynamics Inc. is pioneering the convergence of artificial intelligence and quantum mechanics. As we prepare for the transformative capabilities of 2026, we are seeking a visionary Senior Quantum AI Integration Engineer to lead our research division. This is a unique opportunity to work on projects that will redefine data processing and optimization at a global scale.

You will be at the forefront of hybrid computing, bridging the gap between classical neural networks and emerging quantum processors. If you possess a deep understanding of algorithmic complexity and a passion for solving the unsolvable, we want to meet you.

Why Join Nebula Dynamics?

  • Work on cutting-edge technology that will shape the next decade of tech.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with access to top-tier hardware labs in San Francisco.

Key Responsibilities:

  • Design and implement hybrid quantum-classical algorithms to solve complex optimization problems in real-time.
  • Collaborate with theoretical physicists to translate quantum mechanical principles into scalable software architectures.
  • Optimize existing AI models to run efficiently on near-term quantum hardware (NISQ devices).
  • Lead code reviews and mentor a team of junior engineers and researchers.
  • Stay ahead of the curve on post-quantum cryptography standards and quantum error mitigation techniques.

Qualifications:

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • Proven experience with quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
  • Strong proficiency in Python, TensorFlow, and PyTorch.
  • Deep understanding of linear algebra, probability theory, and complex systems.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Responsibilities

  • Design and implement hybrid quantum-classical algorithms to solve complex optimization problems in real-time.
  • Collaborate with theoretical physicists to translate quantum mechanical principles into scalable software architectures.
  • Optimize existing AI models to run efficiently on near-term quantum hardware (NISQ devices).
  • Lead code reviews and mentor a team of junior engineers and researchers.
  • Stay ahead of the curve on post-quantum cryptography standards and quantum error mitigation techniques.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • Proven experience with quantum programming frameworks such as Qiskit, Cirq, or PennyLane.
  • Strong proficiency in Python, TensorFlow, and PyTorch.
  • Deep understanding of linear algebra, probability theory, and complex systems.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Quantum Computing AI/ML Python Qiskit Cirq TensorFlow PyTorch Linear Algebra Algorithm Design Research

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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