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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution. We're pioneering quantum computing solutions that will redefine industries by 2026. As a Research Scientist, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms and error-correction techniques. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture that celebrates bold innovation.

We offer competitive compensation, comprehensive benefits, and the opportunity to shape humanity's quantum future. Apply now to be part of history in the making.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop novel quantum error-correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to integrate quantum software with next-generation processors
  • Publish breakthrough research in leading scientific journals and conferences
  • Lead cross-functional teams to translate theoretical concepts into practical applications
  • Secure research funding through competitive grant applications
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong publication record in quantum computing or theoretical physics
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with high-performance computing and parallelization techniques
  • Demonstrated ability to lead complex research projects
  • Passion for solving humanity's most challenging problems through quantum innovation

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Theoretical Physics High-Performance Computing Machine Learning

Ready to Take This Challenge?

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