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Quantum Computing Research Scientist (2026)

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of the 2026 technological revolution as a Quantum Computing Research Scientist. We're pioneering breakthroughs in quantum algorithms, cryptography, and materials science that will redefine computing paradigms. This role offers an unparalleled opportunity to shape humanity's quantum future while working with Nobel Prize-winning researchers in our state-of-the-art San Francisco facility.

You'll develop novel quantum error correction protocols, optimize qubit coherence times, and collaborate with MIT and Stanford partners on next-generation quantum processors. Our hybrid-flexible model combines lab work with remote collaboration, supported by a $2M annual research budget and cutting-edge hardware access.

Responsibilities

  • Design and implement fault-tolerant quantum algorithms for optimization problems
  • Lead quantum error correction research achieving >99.9% fidelity targets
  • Develop hybrid quantum-classical machine learning frameworks
  • Author 3+ peer-reviewed publications in Nature/Science journals annually
  • Mentor postdoctoral researchers on quantum hardware-software integration
  • Secure $1M+ in NSF/DARPA quantum computing grants
  • Partner with industry leaders to commercialize quantum solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or Applied Mathematics (2019-2024)
  • 2+ years hands-on experience with superconducting/ion trap qubits
  • Expertise in Qiskit, Cirq, and quantum circuit optimization
  • Publication record in top-tier quantum computing conferences
  • Proficiency in Python, C++, and quantum assembly languages
  • Deep understanding of quantum decoherence mitigation techniques
  • Experience with quantum machine learning algorithms (QML)

Required Skills

Quantum Computing Qiskit Cirq Superconducting Qubits Quantum Error Correction Machine Learning Python C++ Quantum Cryptography

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