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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological innovation as we pioneer the next frontier of computing. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational possibilities by 2026. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum lab, pushing the boundaries of what's possible in cryptography, optimization, and machine learning.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications in finance, logistics, and AI
  • Lead cross-functional teams to prototype quantum solutions on superconducting and photonic platforms
  • Develop error correction techniques to achieve fault-tolerant quantum computation
  • Publish breakthrough research in top-tier journals and present at international conferences
  • Secure $5M+ in government grants and private funding for quantum research initiatives
  • Mentor PhD candidates and junior researchers in quantum information science
  • Partner with industry leaders to commercialize quantum technologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of industry experience
  • Published research in quantum computing with 10+ citations in Nature/Science journals
  • Expertise in Qiskit, Cirq, or similar quantum programming frameworks
  • Proven track record of developing quantum algorithms with demonstrated speedup over classical methods
  • Experience with cryogenic quantum systems and superconducting qubit manipulation
  • Strong background in linear algebra, probability theory, and complex analysis
  • Ability to secure competitive research grants and patents

Required Skills

Quantum Computing Qiskit Cirq Cryogenic Systems Fault-Tolerant Quantum Computing Quantum Algorithms Superconducting Qubits Machine Learning

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