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Quantum Computing Researcher

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer breakthroughs that will redefine 2026 and beyond. We seek a Quantum Computing Researcher to develop next-gen quantum algorithms and architectures. This role offers unparalleled opportunities to shape the future of computational science while collaborating with Nobel laureates and industry pioneers in our state-of-the-art research facility.

Our team operates at the intersection of theoretical physics, advanced mathematics, and cutting-edge engineering. You'll work on projects that could revolutionize cryptography, material science, and artificial intelligence, with direct access to quantum processors and simulation tools. We provide comprehensive benefits including equity, flexible work arrangements, and continuous learning stipends.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to translate theoretical models into practical quantum architectures
  • Lead research initiatives in quantum machine learning and quantum neural networks
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Mentor junior researchers and contribute to patent development
  • Analyze quantum simulation results and identify commercialization opportunities

Qualifications

  • PhD in Physics, Computer Science, Mathematics, or related field with quantum focus
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Published research in quantum computing or quantum information theory
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong mathematical background in linear algebra, probability, and statistical mechanics
  • Proficiency in high-performance computing environments and parallel programming
  • Experience with machine learning frameworks (TensorFlow/PyTorch) for hybrid quantum-classical models

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Machine Learning High-Performance Computing Theoretical Physics

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