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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Labs at the forefront of quantum computing innovation as we shape the technological landscape of 2026. We seek a visionary Research Scientist to pioneer breakthroughs in quantum algorithms and error correction. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers while developing next-generation quantum systems that will revolutionize computing.

Our state-of-the-art facility in San Francisco provides an exceptional environment for pushing the boundaries of quantum mechanics. You'll lead critical research initiatives that directly impact our roadmap for quantum advantage by 2026, with access to cutting-edge hardware and dedicated computing resources.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop advanced error correction protocols for scalable quantum systems
  • Lead cross-functional research teams in quantum hardware-software integration
  • Publish findings in top-tier journals and present at international conferences
  • Collaborate with product teams to translate research into commercial applications
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and foster a culture of quantum innovation

Qualifications

  • PhD in Physics, Computer Science, or related quantum field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum algorithm design and complexity theory
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong publication record in quantum information science
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Demonstrated ability to secure competitive research funding

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Quantum Hardware Research Methodology Complex Systems

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