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Quantum Computing Research Scientist

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

Job Description

Join Nexus Future Labs at the forefront of quantum computing innovation. We're pioneering breakthroughs that will redefine technology by 2026. As a Quantum Computing Research Scientist, you'll collaborate with world-class teams to develop scalable quantum algorithms and solve previously impossible computational challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture that rewards bold thinking. If you're passionate about shaping the future of computation, this is your opportunity to make history.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction and fault-tolerant computing systems
  • Develop quantum software frameworks compatible with next-generation hardware
  • Collaborate with hardware teams to bridge theoretical research with practical applications
  • Publish findings in top-tier journals and present at international conferences
  • Secure research funding through grant proposals and industry partnerships
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Deep expertise in quantum algorithm design and complexity theory
  • Proven track record of peer-reviewed publications in quantum computing
  • Familiarity with quantum hardware architectures (superconducting, ion trap, photonic)
  • Strong background in linear algebra, probability, and information theory
  • Excellent problem-solving skills and ability to work in fast-paced environments
  • Experience with high-performance computing and parallel processing

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Quantum Error Correction Fault-Tolerant Systems Machine Learning Linear Algebra C++ Python

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