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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum computing breakthroughs that will redefine industries by 2026. As a Research Scientist, you'll develop novel quantum algorithms, collaborate with world-class physicists, and contribute to projects that solve previously impossible computational challenges.

Our state-of-the-art facility offers unparalleled resources including 128-qubit processors and exclusive partnerships with NASA and MIT. You'll lead cross-functional teams in creating quantum-resistant encryption systems, optimizing machine learning models, and accelerating drug discovery simulations.

We offer competitive equity packages, flexible hybrid work arrangements, and continuous learning stipends for emerging tech certifications. Be part of the team shaping humanity's technological future.

Responsibilities

  • Design and implement quantum algorithms for optimization problems
  • Develop error-correction protocols for scalable quantum systems
  • Lead research initiatives in quantum machine learning applications
  • Collaborate with hardware engineers on quantum processor integration
  • Publish findings in peer-reviewed journals and industry whitepapers
  • Mentor junior researchers in quantum computing principles
  • Secure federal and private research grants for quantum projects

Qualifications

  • PhD in Physics, Computer Science, or related field
  • 3+ years of quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Publication record in quantum information science
  • Strong background in linear algebra and quantum mechanics
  • Experience with high-performance computing architectures
  • Expertise in quantum error correction techniques
  • Security clearance eligibility preferred

Required Skills

Quantum Computing Qiskit Q# Machine Learning Cryptography High-Performance Computing Linear Algebra Quantum Mechanics

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