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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 computational revolution. We're pioneering quantum algorithms that will redefine industries by 2026. As a Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in drug discovery, climate modeling, and cryptography. Our state-of-the-art facility in San Francisco offers unparalleled resources for quantum experimentation and AI-powered research acceleration.

We're seeking visionaries who thrive at the intersection of theoretical physics and practical application. This role includes competitive equity packages, flexible hybrid work, and dedicated R&D funding for your breakthrough projects. Shape the future of technology with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Lead experimental validation of quantum supremacy benchmarks
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to optimize qubit coherence times
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and cross-functional teams
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing experience with Qiskit/Cirq
  • Published research in quantum algorithms or quantum information theory
  • Expertise in Python, C++, and high-performance computing
  • Strong background in linear algebra and quantum mechanics
  • Demonstrated ability to translate theoretical models into experimental protocols
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)

Required Skills

Quantum Computing Qiskit Cirq Machine Learning Python C++ Linear Algebra Quantum Mechanics Algorithm Design High-Performance Computing Research Publication

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