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Quantum Computing Research Scientist

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. Our multidisciplinary team is developing next-gen quantum algorithms to solve previously impossible challenges in cryptography, AI, and materials science. This role offers unparalleled opportunities to shape the future of computation while collaborating with Nobel laureates and industry pioneers in our state-of-the-art San Francisco laboratory.

We provide comprehensive benefits including equity packages, flexible work arrangements, and dedicated R&D budgets. Your work will directly impact Fortune 500 clients and government agencies preparing for the quantum revolution.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead experimental validation of quantum systems at cryogenic temperatures
  • Develop error-correction protocols for fault-tolerant quantum computation
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research in leading scientific journals
  • Secure patents for breakthrough quantum methodologies
  • Mentor junior researchers in quantum computing principles

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum mechanics and linear algebra
  • Demonstrated publication record in quantum information science
  • Experience with superconducting quantum processors or trapped-ion systems
  • Expertise in machine learning for quantum error correction
  • Ability to secure DOE/NIST research grants preferred

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Error Correction Cryogenic Systems Machine Learning Linear Algebra Superconducting Qubits

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