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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution as a Quantum Computing Research Scientist. We're pioneering next-gen quantum algorithms and hardware that will redefine computing paradigms. This role offers unparalleled opportunity to shape the future of technology in our state-of-the-art San Francisco facility.

As part of our elite R&D team, you'll develop quantum error correction protocols, simulate complex molecular interactions, and collaborate with Nobel laureates. We provide competitive equity packages, flexible hybrid work arrangements, and access to the world's most advanced quantum processors.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop quantum error correction methodologies to enhance qubit stability
  • Lead cross-functional teams in quantum hardware-software co-design projects
  • Publish groundbreaking research in peer-reviewed quantum computing journals
  • Collaborate with industry partners to commercialize quantum solutions
  • Mentor junior researchers in quantum programming and theoretical frameworks
  • Secure federal and private funding for quantum research initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum mechanics principles and quantum information theory
  • Track record of publishing high-impact quantum computing research
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Strong analytical skills with ability to solve complex mathematical problems

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Q# Quantum Mechanics Machine Learning Python High-Performance Computing

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