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Quantum Computing Research Scientist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and protocols that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art lab, pushing the limits of quantum supremacy. We offer unparalleled resources, flexible work arrangements, and a culture that celebrates intellectual curiosity and bold experimentation. Shape the future of computing with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams in developing quantum-resistant cryptographic systems
  • Conduct cutting-edge research in quantum error correction and fault tolerance
  • Collaborate with hardware engineers to optimize quantum circuit architectures
  • Publish breakthrough research in top-tier journals and industry conferences
  • Mentor junior researchers and foster a culture of scientific excellence
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Proven track record of publishing peer-reviewed quantum computing research
  • Deep expertise in quantum algorithms and complexity theory
  • Familiarity with superconducting and trapped-ion quantum platforms
  • Strong mathematical background in linear algebra and probability theory
  • Exceptional problem-solving skills and ability to work with ambiguous challenges

Required Skills

Quantum Computing Qiskit Cirq Cryptography Machine Learning Quantum Algorithms Superconducting Systems Research Methodology

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