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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and hardware prototypes that will redefine computational boundaries. Work alongside Nobel laureates and collaborate with government agencies to solve humanity's most complex challenges in cryptography, materials science, and artificial intelligence.

What You'll Achieve: Lead quantum algorithm development, publish in Nature/Science journals, and contribute to scalable quantum hardware design. Your work will directly shape the quantum ecosystem and accelerate our mission to achieve quantum advantage by 2026.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning problems
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate on quantum hardware integration with superconducting qubit platforms
  • Lead research initiatives in quantum cryptography and secure communications
  • Publish peer-reviewed papers and present findings at international conferences
  • Mentor junior researchers and quantum computing interns
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, quantum mechanics, and complexity theory
  • Experience with cryogenic quantum hardware systems preferred
  • Ability to secure government research grants

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Q# Cryptography Machine Learning Superconducting Qubits Error Correction Research

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