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Quantum Computing Research Scientist

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and architectures that will redefine computational possibilities. Our dynamic team collaborates with Fortune 500 partners to solve humanity's most complex challenges—from climate modeling to drug discovery. Enjoy unparalleled resources, flexible hybrid work, and a culture that rewards intellectual curiosity and bold innovation.

Responsibilities

  • Design and implement quantum algorithms for optimization, simulation, and machine learning applications
  • Lead research in quantum error correction and fault-tolerant architectures
  • Collaborate with hardware teams to develop hybrid quantum-classical systems
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation initiatives
  • Secure external funding through NSF, DARPA, and industry partnerships
  • Translate theoretical breakthroughs into scalable commercial prototypes

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum hardware platforms (superconducting, trapped ions, photonics)
  • Strong background in linear algebra, probability, and computational complexity
  • Proficiency in high-performance computing and parallel programming
  • Demonstrated ability to secure competitive research grants
  • Entrepreneurial mindset with interest in commercialization pathways

Required Skills

Quantum Computing Qiskit Cirq Q# Machine Learning Quantum Algorithms Quantum Hardware Research Python TensorFlow PyTorch High-Performance Computing Linear Algebra Computational Complexity

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