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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop breakthrough algorithms and protocols that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources for exploring quantum supremacy applications in cryptography, optimization, and machine learning. This role represents a rare opportunity to shape humanity's technological future while collaborating with Nobel laureates and industry pioneers.

We offer competitive equity packages, flexible hybrid work arrangements, and dedicated R&D budgets for cutting-edge experiments. If you're driven to solve problems once considered impossible, Nexus Labs is your launchpad.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026-era applications
  • Lead cross-functional teams in developing quantum error correction protocols
  • Collaborate with hardware engineers to optimize quantum circuit architectures
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure external funding through DARPA and NSF grants
  • Mentor junior researchers in quantum computing fundamentals
  • Develop patentable intellectual property for commercialization

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum algorithm development experience
  • Published research in Nature/Science or equivalent tier journals
  • Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
  • Demonstrated success in securing government research grants
  • Deep understanding of quantum decoherence mitigation strategies
  • Experience with superconducting or ion-trap quantum systems

Required Skills

Quantum Computing Algorithm Design Quantum Cryptography Machine Learning Research Methodology Patent Law High-Performance Computing Scientific Visualization

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