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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop breakthrough algorithms and protocols for next-gen quantum systems in our state-of-the-art facility. Collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges through quantum supremacy.

Our team operates at the intersection of theoretical physics and practical application, pushing the boundaries of computational possibility. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets. Shape the technological landscape of tomorrow with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and simulation
  • Develop error correction protocols for fault-tolerant quantum systems
  • Lead experimental validation of quantum supremacy claims
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Publish peer-reviewed research and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
  • Proven expertise in quantum algorithm development and complexity theory
  • Strong publication record in Nature/Science/Physical Review journals
  • Proficiency in quantum programming languages (Qiskit, Cirq, Quipper)
  • Experience with cryogenic quantum systems or photonic computing
  • Demonstrated ability to secure research grants from NSF/DOE/EU programs
  • Deep understanding of quantum error correction and fault tolerance

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Fault Tolerance Cryogenic Systems Photonic Computing Theoretical Physics Machine Learning

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