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Quantum Computing Research Scientist

Nexus Quantum Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate breakthroughs in cryptography, optimization, and machine learning.

Why Nexus Quantum? We provide competitive compensation, equity packages, and unparalleled opportunities to shape the future of quantum technology. Collaborate with Nobel laureates and industry pioneers in an environment that values innovation, intellectual curiosity, and disruptive thinking.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead research on quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Collaborate with hardware teams to optimize quantum circuit designs
  • Publish breakthrough research in top-tier journals and conferences
  • Secure competitive research grants and intellectual property
  • Mentor junior researchers and drive innovation workshops

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong foundation in linear algebra, quantum mechanics, and information theory
  • Publication record in quantum computing research
  • Experience with quantum hardware (superconducting, ion trap, photonic)
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Q# Qiskit Cirq Quantum Algorithms Quantum Error Correction Linear Algebra Quantum Mechanics Machine Learning Cryptography

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