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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of artificial intelligence, cryptography, and materials science.

Our state-of-the-art San Francisco campus provides access to quantum annealers, superconducting processors, and a dedicated team of world-class physicists. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity and research stipends.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning and optimization problems
  • Develop error-correction techniques for scalable quantum systems
  • Collaborate with hardware teams to translate theoretical models into practical applications
  • Lead quantum cryptography projects for next-gen secure communications
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure external funding through NSF and DARPA grants

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information Science
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum error correction and fault tolerance
  • Publication record in Nature/Science or equivalent journals
  • Expertise in machine learning frameworks (TensorFlow, PyTorch)
  • Experience with superconducting or trapped-ion quantum processors

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Cryptography Superconducting Qubits Error Correction Python TensorFlow

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