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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026. We're seeking a brilliant Quantum Computing Research Scientist to develop next-gen algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge hardware and collaborate with world-class physicists, engineers, and AI specialists. Our state-of-the-art facility in San Francisco provides an environment where innovation thrives and your breakthroughs can shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Lead research initiatives in quantum machine learning and cryptography
  • Publish findings in peer-reviewed journals and present at international conferences
  • Secure external funding through NSF and DARPA grant proposals
  • Mentor junior researchers and supervise graduate student projects

Qualifications

  • PhD in Physics, Computer Science, or related quantum field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong background in linear algebra and quantum information theory
  • Demonstrated publication record in quantum computing research
  • Familiarity with quantum hardware architectures (superconducting, trapped ions)
  • Experience with high-performance computing and parallel processing
  • US citizenship or permanent residency required for government contract compliance

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Quantum Machine Learning Cryptography Linear Algebra High-Performance Computing

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