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Senior Quantum AI Research Scientist | San Francisco, CA

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Shape the Future of 2026 Technology

Nebula Horizon Labs is seeking a visionary Senior Quantum AI Research Scientist to lead our next-generation initiatives. We are building the infrastructure that will power autonomous systems and deep-space communication by 2026. This is not just a job; it is an opportunity to define the era of human-machine symbiosis.

In this pivotal role, you will move beyond traditional computing paradigms to engineer algorithms that exist at the intersection of quantum physics and artificial intelligence. Join a team of elite engineers and scientists dedicated to pushing the boundaries of what is possible.

Why join us?

  • Work on cutting-edge technology with a direct impact on the future of global connectivity.
  • Competitive compensation and equity packages.
  • Access to state-of-the-art quantum hardware and cloud resources.

Responsibilities

  • Design and implement novel quantum machine learning algorithms tailored for the 2026 autonomous infrastructure.
  • Collaborate with hardware engineering teams to optimize quantum processors for complex AI workloads.
  • Conduct rigorous theoretical research and publish findings in top-tier scientific journals and conferences.
  • Mentor and guide junior researchers and PhD candidates in quantum physics and deep learning.
  • Bridge the gap between abstract quantum mechanics and practical, scalable software applications.
  • Identify and prototype potential breakthrough technologies for future product cycles.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field.
  • Experience: Minimum of 5 years of experience in quantum computing or advanced AI research.
  • Tech Stack: Proficiency in Python, C++, and quantum SDKs such as Qiskit, Cirq, or Pennylane.
  • AI Expertise: Strong background in classical machine learning frameworks (TensorFlow, PyTorch).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in high-pressure environments.
  • Communication: Exceptional written and verbal communication skills for technical stakeholder management.

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit TensorFlow PyTorch Research Ph.D.

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