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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
San Francisco, CA
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Labs at the forefront of quantum revolution as we pioneer breakthrough technologies for 2026. We're seeking a brilliant Quantum Computing Research Scientist to develop next-gen algorithms and solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art lab, pushing the boundaries of quantum supremacy.

This role offers unparalleled resources, competitive compensation, and the opportunity to shape humanity's technological future. Our startup culture combines academic rigor with entrepreneurial spirit, fostering innovation that will transform industries from healthcare to cryptography.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to develop hybrid quantum-classical workflows
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure federal and private research funding through compelling proposals
  • Mentor junior researchers and foster cross-disciplinary innovation
  • Translate theoretical advances into practical industry applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Published research in quantum computing or quantum information theory
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, etc.)
  • Strong background in linear algebra and computational complexity
  • Demonstrated success in securing research grants or patents
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq High-Performance Computing Research Methodology Linear Algebra Machine Learning

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