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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Research Scientists to develop groundbreaking quantum algorithms and hardware prototypes that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimental quantum research, with cross-functional collaboration opportunities in AI, cryptography, and materials science. Enjoy competitive equity packages, flexible work arrangements, and dedicated R&D budgets to accelerate your breakthrough ideas.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error-correction techniques for scalable quantum processors
  • Collaborate with hardware teams to prototype next-generation quantum computing architectures
  • Lead quantum machine learning initiatives for predictive modeling applications
  • Publish peer-reviewed research and present findings at international conferences
  • Secure external funding through NSF and DARPA grant applications
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum computing focus
  • 3+ years of experience in quantum algorithm development or quantum hardware research
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum computing or quantum information theory
  • Strong background in linear algebra, complex analysis, and statistical mechanics
  • Experience with high-performance computing environments and parallel programming
  • Excellent written and verbal communication skills for technical documentation

Required Skills

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

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