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Quantum Computing Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of technological revolution as we shape the quantum landscape of 2026. We seek visionary Quantum Computing Research Scientists to pioneer next-gen solutions that will redefine industries. In this cutting-edge role, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms, optimize error-correction protocols, and accelerate quantum supremacy. Our state-of-the-art lab offers unparalleled resources to transform theoretical breakthroughs into commercial applications. This is your chance to leave an indelible mark on humanity's technological evolution.

Responsibilities

  • Design and implement novel quantum algorithms for computational acceleration
  • Lead research in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Collaborate with hardware teams to optimize quantum processor performance
  • Publish breakthrough research in top-tier scientific journals
  • Secure government and industry grants for quantum research initiatives
  • Mentor emerging quantum engineers through our innovation incubator

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (exceptional MS candidates with 5+ years experience considered)
  • Proven expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in quantum information theory or quantum algorithms
  • Deep understanding of quantum decoherence and error mitigation techniques
  • Experience with high-performance computing environments
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Track record of translating complex concepts into practical applications

Required Skills

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

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