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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum algorithms that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop breakthrough solutions for cryptography, optimization, and machine learning challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for world-class research. Collaborate with Nobel laureates and shape the future of technology.

We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets. Your work will directly impact Fortune 500 clients and government agencies deploying quantum solutions in 2026.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for enterprise clients
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Collaborate with hardware teams to optimize quantum circuit implementations
  • Mentor junior researchers and contribute to patent portfolios
  • Present findings at international conferences and industry symposiums

Qualifications

  • PhD in Physics, Computer Science, or related quantum field
  • 3+ years of hands-on quantum programming experience (Qiskit, Cirq, or Q#)
  • Publication record in quantum computing or theoretical physics
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra and quantum mechanics
  • Experience with high-performance computing environments
  • Demonstrated ability to translate complex theories into practical solutions

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Fault-Tolerance Machine Learning Cryptography Python High-Performance Computing

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