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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution. As we prepare for the quantum leap of 2026, we seek visionary researchers to pioneer next-generation quantum algorithms and applications. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into tangible solutions that will redefine computing.

Collaborate with Nobel laureates and industry pioneers in an environment that encourages bold experimentation. We offer competitive equity packages, flexible work arrangements, and dedicated R&D budgets. This is your chance to shape the digital future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead cross-functional teams to develop quantum software frameworks compatible with emerging hardware
  • Conduct cutting-edge research in quantum error correction and fault-tolerant systems
  • Publish high-impact papers in leading scientific journals and present at international conferences
  • Translate theoretical models into practical quantum computing solutions for real-world applications
  • Mentor junior researchers and drive innovation through collaborative prototyping

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of experience in quantum algorithm development or quantum hardware research
  • Proficiency in quantum programming languages (Qiskit, Cirq, Quil)
  • Strong publication record in quantum information science or related fields
  • Demonstrated expertise in complex mathematical modeling and computational physics
  • Experience with quantum circuit optimization and simulation tools
  • Ability to secure research grants and collaborate with academic institutions

Required Skills

Quantum Computing Quantum Algorithms Quantum Programming Research & Development Machine Learning Computational Physics Scientific Publishing

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