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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to pioneer next-generation computational paradigms. Shape the future by developing hybrid quantum-neural systems that solve previously impossible problems in cryptography, drug discovery, and climate modeling. Work in our state-of-the-art facility with unlimited resources and collaborate with Nobel laureates and industry disruptors. Your breakthroughs will power global innovation while enjoying unparalleled autonomy and impact.

Responsibilities

  • Design and implement quantum algorithms leveraging AI/ML integration for exponential computational acceleration
  • Lead cross-functional teams in developing hybrid quantum-classical architectures for enterprise applications
  • Publish groundbreaking research in top-tier journals (Nature/Science) and present at global conferences
  • Develop proprietary quantum error-correction protocols for fault-tolerant systems
  • Collaborate with Fortune 500 partners to deploy quantum solutions in finance, logistics, and healthcare
  • Secure $1M+ in annual research grants through innovative project proposals

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics with 3+ years research experience
  • Expertise in quantum programming (Qiskit, Cirq, Q#) and machine learning frameworks
  • Published peer-reviewed papers in quantum information science or AI/ML
  • Proficiency in high-performance computing environments (HPC, cloud quantum simulators)
  • Deep understanding of quantum entanglement, superposition, and decoherence mitigation
  • Experience with neural network optimization on quantum hardware
  • Strong track record of securing government or corporate research funding

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Qiskit Cirq Q# Theoretical Physics High-Performance Computing Neural Networks Cryptography Research Methodology

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