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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum Computing Research Scientist. We're pioneering breakthroughs in quantum algorithms, cryptography, and computational modeling to solve humanity's most complex challenges. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab.

As part of our Quantum Innovation Division, you'll contribute to projects that will redefine industries from pharmaceuticals to artificial intelligence. We provide competitive compensation, equity packages, and access to cutting-edge quantum hardware through our partnerships with leading quantum computing providers.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols and quantum simulation frameworks
  • Lead cross-functional teams to translate quantum theoretical models into practical applications
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Collaborate with hardware teams to optimize quantum gate operations and qubit stability
  • Secure research grants and patents for quantum computing innovations

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years post-doctoral experience
  • Proficiency in quantum programming languages (Q#, Quil, or Cirq)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong publication record in quantum computing or theoretical physics
  • Expertise in Python, TensorFlow, and high-performance computing environments
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Proven ability to secure research funding from NSF or DARPA

Required Skills

Quantum Computing Quantum Algorithms Error Correction Q# Machine Learning Python TensorFlow High-Performance Computing Theoretical Physics

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