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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 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 Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum lab, pushing the limits of what's possible in cryptography, AI optimization, and materials science.

This role offers unparalleled opportunities to shape emerging technologies while contributing to breakthrough research with global impact. We provide competitive equity packages, flexible work arrangements, and dedicated R&D funding for your innovative projects.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead experimental validation of quantum computing prototypes using superconducting qubits
  • Develop error-correction frameworks for scalable quantum systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research in top-tier quantum computing journals
  • Mentor junior researchers and cross-functional engineering teams
  • Secure external research funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
  • Publication record in quantum computing or condensed matter physics
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with cryogenic quantum computing systems
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Q# Quantum Algorithms Cryogenics Error Correction Superconducting Qubits Machine Learning Cryptography Materials Science

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