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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 technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and systems that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art labs, tackling challenges from drug discovery to climate modeling. This role offers unparalleled resources, including access to IBM's quantum cloud and our proprietary 1000-qubit processors. If you're passionate about solving humanity's greatest challenges through quantum innovation, this is your calling.

Responsibilities

  • Design and implement novel quantum algorithms for optimization problems
  • Lead experiments on quantum processors to validate theoretical models
  • Develop error-correction techniques for fault-tolerant quantum systems
  • Collaborate with hardware teams to co-design quantum architectures
  • Publish breakthrough research in peer-reviewed journals and conferences
  • Secure $5M+ in research grants from NSF, DARPA, and industry partners
  • Mentor PhD candidates and lead cross-functional innovation sprints

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information Science
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum algorithms (Shor, Grover, VQE)
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Published research in Nature/Science or top-tier conferences
  • Strong background in linear algebra and quantum mechanics
  • Experience with high-performance computing environments
  • Track record of translating theory into practical applications

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction High-Performance Computing Theoretical Physics Machine Learning

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