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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as a Quantum Computing Research Scientist. We're pioneering breakthroughs that will redefine computing by 2026, pushing the boundaries of quantum supremacy, error correction, and practical quantum algorithms. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry visionaries in our state-of-the-art quantum lab.

We seek innovators passionate about translating theoretical quantum mechanics into real-world applications. You'll develop novel quantum protocols, optimize hardware-software interfaces, and contribute to our mission of solving previously unsolvable computational challenges in cryptography, drug discovery, and climate modeling.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Lead research in quantum error correction and fault-tolerant computing systems
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish peer-reviewed papers and present findings at top-tier conferences
  • Develop quantum software frameworks for commercial applications
  • Mentor junior researchers and quantum computing interns
  • Secure research grants and partnerships with academic institutions

Qualifications

  • PhD in Physics, Computer Science, or related quantum field (required)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Deep expertise in quantum mechanics and linear algebra
  • Proven track record of published quantum computing research
  • Proficiency in Python, C++, and high-performance computing
  • Experience with quantum hardware (IBM Q, Rigetti, or IonQ)
  • Demonstrated ability to secure research funding

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Python C++ Research Cryptography Machine Learning

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