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Quantum Computing Research Scientist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum computing and AI-driven systems. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and architectures that will redefine computational capabilities by 2026. This role offers unparalleled access to cutting-edge hardware and collaborative teams of Nobel laureates and industry pioneers.

Our state-of-the-art facility in San Francisco's Tech Hub provides an environment where your innovations can transform industries from healthcare to climate modeling. We offer competitive compensation, equity packages, and flexible work arrangements designed for maximum impact.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to co-design quantum processors
  • Develop hybrid quantum-classical machine learning frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation
  • Secure research funding through government and industry partnerships

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability, and information theory
  • Demonstrated track record of peer-reviewed publications
  • Experience with superconducting or trapped-ion quantum systems
  • Ability to translate complex theoretical concepts into practical applications

Required Skills

Quantum Computing Qiskit Q# Machine Learning Superconducting Qubits Algorithm Design Research Publication Python C++ TensorFlow PyTorch

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