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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 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 next-gen algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco laboratory, pushing the limits of quantum supremacy while contributing to breakthrough applications in cryptography, materials science, and AI optimization.

We offer competitive equity packages, flexible remote work options, and a culture where your innovative ideas shape the future of technology. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your opportunity to make history.

Responsibilities

  • Design and implement quantum algorithms for practical 2026-era applications
  • Lead research on quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Publish groundbreaking research in top-tier scientific journals
  • Develop quantum machine learning frameworks for enterprise solutions
  • Mentor junior researchers and drive cross-functional innovation
  • Secure patents for proprietary quantum methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development
  • Expertise in quantum programming languages (Q#, Qiskit)
  • Published research in quantum information theory
  • Deep understanding of quantum hardware constraints
  • Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
  • Strong background in linear algebra and quantum mechanics

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Quantum Error Correction Machine Learning Cryptography Linear Algebra Scientific Research

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