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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer the next era of computing. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and systems that will redefine industries by 2026. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco R&D center, where your work will directly shape the quantum-powered future.

This role offers unparalleled resources, including access to IBM Quantum and D-Wave systems, plus a $50M research budget for cutting-edge projects. You'll lead initiatives in quantum machine learning, cryptography, and error correction while mentoring the next generation of quantum engineers.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Develop quantum error correction protocols for scalable fault-tolerant systems
  • Lead cross-functional teams in prototyping quantum hardware-software interfaces
  • Publish breakthrough research in Nature Physics/Science with 2+ annual papers
  • Secure $1M+ in quantum computing grants from NSF/DARPA
  • Mentor PhD interns in quantum information theory
  • Partner with industry leaders to commercialize quantum solutions

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (2020-2025 graduates encouraged)
  • 3+ years of hands-on experience with Qiskit, Cirq, or Q# frameworks
  • Published research in top-tier quantum computing journals
  • Expertise in quantum circuit optimization and decoherence mitigation
  • Proficiency in Python, C++, and quantum assembly languages
  • Experience with superconducting qubit systems or trapped-ion platforms
  • Strong track record of translating theoretical models into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Quantum Error Correction Machine Learning Cryptography Superconducting Qubits Trapped Ions Python C++ Quantum Assembly

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