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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum computing solutions that will redefine industries from pharmaceuticals to finance. As a Research Scientist, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility, where your work directly shapes humanity's quantum future.

We offer competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. Our culture celebrates intellectual curiosity and embraces failure as a catalyst for breakthrough innovation.

Responsibilities

  • Lead quantum algorithm development for real-world applications in cryptography and materials science
  • Design and optimize quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to translate theoretical models into practical quantum circuits
  • Publish breakthrough research in top-tier journals and present at global quantum conferences
  • Mentor junior researchers and drive cross-functional innovation sprints
  • Secure and manage multi-million dollar research grants from government and industry partners

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years postdoctoral experience
  • Expertise in quantum programming languages (Q#, Quil, or Cirq)
  • Proven track record of publishing in Nature/Science journals or equivalent
  • Deep understanding of quantum decoherence and entanglement phenomena
  • Experience with quantum simulation frameworks (Qiskit, Cirq, or TensorFlow Quantum)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Ability to secure competitive research funding through NSF/NIH/DARPA proposals

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Q# Fault-Tolerant Quantum Systems Cryptography Materials Science Machine Learning

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