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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We seek a brilliant Quantum Computing Research Scientist to develop next-generation algorithms and solve previously unsolvable problems in cryptography, optimization, and materials science. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in a collaborative, future-focused environment. This role offers competitive compensation, equity, and the opportunity to shape humanity's technological destiny.

Responsibilities

  • Design and implement quantum algorithms for practical 2026-era applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with cross-functional teams to integrate quantum solutions with classical computing infrastructure
  • Publish cutting-edge research in peer-reviewed journals and industry conferences
  • Develop quantum machine learning models for predictive analytics and complex simulations
  • Secure research grants and partnerships with leading academic institutions
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Qiskit, Cirq)
  • Deep expertise in quantum algorithms and quantum information theory
  • Strong publication record in top-tier scientific journals
  • Proficiency in high-performance computing environments and parallel processing
  • Demonstrated ability to translate complex theoretical concepts into practical implementations
  • Experience securing research funding and managing academic partnerships

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Machine Learning Cryptography High-Performance Computing Research Methodology

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