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Quantum Computing Research Scientist

NexusLabs Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join NexusLabs Inc. at the forefront of quantum innovation as we architect the computational landscape of 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and solve previously unsolvable problems in cryptography, AI, and materials science. This is your chance to shape the technological future in a collaborative environment with world-class physicists and engineers. Enjoy competitive compensation, cutting-edge resources, and the autonomy to explore groundbreaking research paths.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead experimental research on quantum error correction and qubit stability
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Develop quantum simulation frameworks to validate hardware performance
  • Drive strategic partnerships with academic institutions and quantum startups
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
  • Proven expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong publication record in quantum computing or theoretical physics
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Experience with superconducting qubit systems or photonic quantum processors
  • Demonstrated ability to secure research funding through grants and proposals
  • Passion for translating quantum theory into real-world applications by 2026

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Cryptography Machine Learning Superconducting Qubits Python Research Methodology

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