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Quantum AI Research Scientist - 2026 Vision

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution for 2026! We're seeking a pioneering Quantum AI Research Scientist to develop next-generation algorithms that will redefine computing paradigms. Our state-of-the-art facility in San Francisco offers an unparalleled environment where your innovations will directly shape humanity's digital future. Collaborate with Nobel laureates and industry disruptors to solve complex challenges in quantum machine learning, cryptography, and autonomous systems. This is your chance to build the technologies that will power the next decade of human progress.

Responsibilities

  • Design and implement quantum algorithms for AI optimization and predictive modeling
  • Lead cross-functional teams in developing quantum-resistant encryption protocols
  • Conduct cutting-edge research in quantum neural networks and hybrid quantum-classical systems
  • Author peer-reviewed publications and present findings at global tech conferences
  • Collaborate with hardware teams to optimize quantum circuit implementations
  • Develop scalable quantum machine learning frameworks for enterprise applications
  • Secure $5M+ in government and private research funding for 2026 initiatives

Qualifications

  • PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Publication record in top-tier quantum/AI conferences (NeurIPS, QIP, etc.)
  • Expertise in Python, TensorFlow/PyTorch, and low-level quantum simulators
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with high-performance computing environments (HPC, cloud quantum services)
  • Proven track record of translating theoretical research into practical applications

Required Skills

Quantum Computing Machine Learning Python Qiskit Cryptography Neural Networks TensorFlow Research

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