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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility, where your work directly shapes the future of AI, cryptography, and materials science.

Our team operates at the intersection of theoretical physics and practical application, creating solutions for global challenges in healthcare, climate modeling, and space exploration. We offer unparalleled resources, flexible research parameters, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Lead cross-functional R&D teams in prototyping quantum applications
  • Publish breakthrough research in top-tier journals and conferences
  • Collaborate with hardware teams to bridge quantum software-hardware interfaces
  • Secure research partnerships with leading academic institutions
  • Translate theoretical models into scalable quantum computing solutions

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Publication record in quantum information science
  • Strong background in linear algebra and complex analysis
  • Experience with quantum error correction techniques
  • Proven ability to lead technical research projects
  • Passion for solving humanity's most complex problems

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Error Correction Theoretical Physics Machine Learning Cryptography

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