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Quantum Computing Research Scientist 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 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 solve previously unsolvable computational challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your work will directly impact the future of AI, cryptography, and materials science.

As part of our elite Future Systems Division, you'll work alongside Nobel laureates and Turing Award winners to push the boundaries of quantum supremacy. We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D funding for your breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for 2026-era applications
  • Lead experimental validation of quantum supremacy claims on 1000+ qubit systems
  • Develop error correction protocols for fault-tolerant quantum computing
  • Collaborate with AI teams to integrate quantum machine learning frameworks
  • Publish breakthrough research in Nature/Science journals
  • Secure $1M+ in government/private research grants
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (2020-2026 graduates encouraged)
  • Published research in quantum algorithms or error correction
  • Experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum circuit optimization techniques
  • Proficiency in high-performance computing environments
  • Track record of securing competitive research funding
  • Strong background in linear algebra and complex analysis

Required Skills

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

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