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Senior Quantum AI Research Scientist - 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the future of computing in 2026?

Nexus Horizon Labs is seeking a visionary Senior Quantum AI Research Scientist to spearhead our breakthrough initiatives. As we bridge the gap between classical artificial intelligence and quantum mechanics, we are looking for a pioneer who isn't just using tomorrow's technology, but building it today.

In this pivotal role, you will lead a high-impact research team focused on developing fault-tolerant quantum algorithms for generative AI models. You will work in a state-of-the-art facility in San Francisco, collaborating with elite engineers and physicists to solve problems currently deemed unsolvable.

Why Join Us?

  • Impact: Your work will directly shape the trajectory of AI development for the next decade.
  • Equity: Competitive equity package with significant upside as we approach our Series D.
  • Environment: A hybrid-first culture that values deep work and radical innovation.

Responsibilities

  • Algorithm Development: Design and implement novel quantum error correction codes tailored for neural network training.
  • Research Leadership: Lead a cross-functional team of quantum physicists and data scientists to publish high-impact papers in top-tier journals.
  • Simulation: Develop high-fidelity quantum simulators to test theoretical models before deployment on hardware.
  • Collaboration: Partner with hardware engineering to optimize quantum processor architecture for AI workloads.
  • Strategic Planning: Define the long-term roadmap for Nexus Horizon's quantum AI integration.

Qualifications

  • Education: PhD or Master's degree in Computer Science, Physics, Applied Mathematics, or a related field with a focus on Quantum Computing.
  • Experience: 5+ years of experience in research, preferably within a top-tier tech lab or academic institution.
  • Technical Skills: Proficiency in Python, C++, and TensorFlow/PyTorch. Demonstrated experience with Qiskit, Cirq, or PennyLane.
  • Theoretical Knowledge: Deep understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
  • Problem Solving: Ability to tackle complex, open-ended problems with innovative solutions.

Required Skills

Quantum Computing AI Research Python C++ Machine Learning Quantum Algorithms Error Correction TensorFlow Ph.D. in Physics/CS

Ready to Take This Challenge?

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