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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and architectures that will redefine computational boundaries. You'll collaborate with Nobel laureates and work in our state-of-the-art quantum lab to solve humanity's most complex challenges. This is your opportunity to shape the digital future in an environment that values audacious innovation and intellectual curiosity.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental validation of quantum hardware prototypes in cryogenic environments
  • Develop error-correction frameworks to achieve fault-tolerant quantum computation
  • Collaborate with cross-functional teams to commercialize quantum solutions for finance, healthcare, and AI
  • Publish peer-reviewed research and present findings at leading quantum computing conferences
  • Secure competitive research grants and patents for novel quantum methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years of industry experience
  • Expertise in quantum circuit design, quantum error correction, and NISQ algorithms
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
  • Publication record in top-tier quantum computing journals (e.g., Nature Quantum Information)
  • Experience with cryogenic quantum hardware systems and experimental setups
  • Demonstrated ability to translate theoretical concepts into practical quantum applications
  • Strong background in linear algebra, quantum mechanics, and computational complexity theory

Required Skills

Quantum Computing Quantum Algorithms Error Correction Cryogenic Systems Q# Qiskit Machine Learning Cryptography Fault-Tolerant Computing

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