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Quantum Computing Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum computing breakthroughs shaping 2026 and beyond. We seek visionary Quantum Computing Research Scientists to develop scalable quantum algorithms, optimize error-correction protocols, and collaborate with interdisciplinary teams to solve humanity's most complex challenges. Your work will directly influence next-generation cryptography, AI acceleration, and materials science. Enjoy competitive compensation, cutting-edge resources, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop advanced error-correction techniques for fault-tolerant quantum systems
  • Collaborate with hardware engineers to optimize quantum software architectures
  • Lead research initiatives in quantum machine learning applications
  • Publish findings in top-tier scientific journals and present at global conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure federal and private research funding through compelling proposals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Deep expertise in quantum algorithms, complexity theory, and quantum information
  • Proven track record of peer-reviewed publications in quantum computing
  • Strong proficiency in Python, C++, and high-performance computing environments
  • Experience with superconducting or trapped-ion quantum systems preferred
  • Exceptional problem-solving skills and ability to communicate complex concepts

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Python C++ Machine Learning Cryptography High-Performance Computing

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