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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to develop next-gen algorithms, optimize quantum hardware, and solve complex computational challenges that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking work in quantum cryptography, machine learning acceleration, and molecular modeling.

This role offers competitive compensation, flexible work arrangements, and opportunities to collaborate with Nobel laureates and industry pioneers. Shape the future of computation with us.

Responsibilities

  • Design and implement quantum algorithms for real-world applications
  • Optimize quantum hardware-software interfaces for maximum efficiency
  • Lead research initiatives in quantum error correction and fault tolerance
  • Develop proprietary quantum simulation frameworks for complex systems
  • Collaborate with cross-functional teams to integrate quantum solutions
  • Publish findings in peer-reviewed journals and industry conferences
  • Secure patents for novel quantum methodologies and architectures

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum algorithms and complexity theory
  • Published research in top-tier quantum computing journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Strong background in linear algebra and probability theory
  • Ability to secure government or corporate research funding

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Quantum Cryptography Fault Tolerance Machine Learning Linear Algebra Research Methodology

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