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Quantum Computing Research Scientist 2026

Nexus Labs
San Francisco
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 2026's technological revolution as we pioneer quantum computing applications that will redefine industries. We seek a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that leverage quantum mechanics for breakthrough solutions. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the San Francisco Bay. Your work will directly impact fields from pharmaceuticals to climate modeling, shaping humanity's technological landscape for decades to come.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research on quantum error correction techniques for scalable quantum processors
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to translate theoretical models into practical applications
  • Publish peer-reviewed research in top-tier journals and present at international conferences
  • Secure government and private research grants for quantum computing initiatives
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum error correction and fault tolerance
  • Proven track record of published research in quantum information science
  • Experience with high-performance computing and parallel processing
  • Strong mathematical background in linear algebra, probability, and complex analysis
  • Ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Machine Learning Python Linear Algebra Fault Tolerance Research

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