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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We're pioneering the next wave of quantum computing to solve humanity's most complex challenges. As a Quantum Research Scientist, you'll architect breakthrough algorithms and systems that will redefine technology by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your ideas become reality.

We're seeking visionary minds to develop quantum-resistant cryptography, optimize machine learning models, and create scalable quantum hardware. This isn't just research—it's legacy-building. If you thrive at the intersection of theoretical physics and practical application, this is where you'll shape the future.

Responsibilities

  • Design and implement quantum algorithms for optimization, simulation, and cryptography
  • Develop error-correction protocols to achieve fault-tolerant quantum systems
  • Collaborate with hardware engineers to co-design quantum processors
  • Publish breakthrough research in top-tier journals and conferences
  • Lead cross-functional teams to translate theoretical models into practical applications
  • Secure patents for novel quantum computing methodologies
  • Mentor junior researchers and foster an innovation-driven culture

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming (Q#, Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerance techniques
  • Published research in quantum information science or adjacent fields
  • Proficiency in high-performance computing environments
  • Deep understanding of quantum mechanics and computational complexity
  • Track record of developing prototype quantum systems

Required Skills

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

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