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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and hardware architectures that will redefine computational possibilities. Our interdisciplinary team collaborates with Fortune 500 partners to solve previously unsolvable challenges in cryptography, drug discovery, and climate modeling. This is your chance to shape humanity's technological future in a state-of-the-art facility with unlimited resources and mentorship from Nobel laureates.

Responsibilities

  • Design and implement novel quantum algorithms for practical industry applications
  • Lead experimental research on quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to optimize qubit coherence and gate fidelity
  • Publish groundbreaking research in top-tier journals and industry whitepapers
  • Mentor junior researchers and supervise graduate student projects
  • Secure and manage research grants from federal agencies and private foundations
  • Develop intellectual property portfolios through patent applications

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Proven track record of peer-reviewed publications in quantum research
  • Expertise in quantum algorithms and complexity theory
  • Familiarity with cryogenic quantum hardware architectures
  • Strong mathematical background in linear algebra and probability theory
  • Experience with high-performance computing frameworks and parallel processing
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Q# Fault Tolerance Cryptography Machine Learning High-Performance Computing Cryogenics Research Methodology

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