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Quantum AI Research Scientist

Nexus Quantum Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the future of technology by pioneering quantum-AI fusion at Nexus Quantum Dynamics. We're seeking visionary researchers to develop next-gen quantum algorithms that will revolutionize machine learning in 2026. Join our elite team at the intersection of quantum computing and artificial intelligence, where your work will directly impact breakthroughs in cryptography, optimization, and computational modeling.

As a pioneer in this emerging field, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco lab. We offer unparalleled resources, flexible work arrangements, and equity in a company poised to lead the quantum revolution.

Responsibilities

  • Design and implement novel quantum machine learning algorithms for real-world applications
  • Lead quantum circuit optimization projects targeting 2026-era quantum hardware
  • Develop hybrid quantum-classical AI frameworks for enterprise solutions
  • Collaborate with cross-functional teams to integrate quantum capabilities into AI platforms
  • Publish breakthrough research in peer-reviewed journals and industry conferences
  • Secure research partnerships with quantum hardware manufacturers and AI enterprises

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of quantum algorithm development experience with demonstrated publications
  • Expertise in quantum programming languages (Qiskit, Cirq, Quil) and cloud quantum platforms
  • Strong background in machine learning frameworks (TensorFlow, PyTorch) and Python/C++
  • Deep understanding of quantum error correction and fault-tolerant computing principles
  • Track record of translating theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python C++ Qiskit TensorFlow Quantum Cryptography

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