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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution! We seek a visionary Quantum Computing Researcher to pioneer breakthroughs that will redefine 2026's technological landscape. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility, where quantum supremacy meets practical application.

Shape the future of AI, cryptography, and materials science through groundbreaking quantum algorithms. Your work will directly impact global healthcare, finance, and climate modeling initiatives. Enjoy unparalleled resources, flexible hybrid work, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead cross-functional teams in developing quantum machine learning frameworks
  • Collaborate with hardware engineers to optimize quantum circuit architectures
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Develop patents for quantum encryption and secure communication protocols
  • Mentor junior researchers in quantum information theory
  • Partner with Fortune 500 companies to deploy quantum solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Published research in quantum error correction or fault tolerance
  • Strong background in linear algebra, probability theory, and complexity classes
  • Experience with superconducting or trapped-ion quantum systems
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Machine Learning Cryptography Quantum Algorithms Superconducting Systems Linear Algebra Research Methodology

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