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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop next-gen algorithms, optimize quantum systems, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where curiosity fuels innovation.

We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity in our groundbreaking ventures. Be part of the team shaping the quantum revolution.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to enhance quantum processor performance
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects
  • Secure research funding through grants and industry partnerships
  • Develop patentable quantum computing methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong background in linear algebra and quantum mechanics principles
  • Demonstrated track record of peer-reviewed publications
  • Experience with superconducting or trapped-ion quantum systems
  • Ability to translate theoretical concepts into practical implementations
  • Excellent problem-solving skills and scientific creativity

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Superconducting Qubits Machine Learning Linear Algebra Scientific Research

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