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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions that will redefine industries by 2026. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and hardware architectures. This role offers unparalleled opportunities to collaborate with Nobel laureates and shape the future of computational science in our state-of-the-art downtown San Francisco facility.

Responsibilities

  • Design and implement quantum algorithms for cryptography optimization and machine learning acceleration
  • Lead experimental validation of quantum circuits on superconducting and photonic platforms
  • Develop error-correction protocols to achieve fault-tolerant quantum operations
  • Publish breakthrough research in top-tier journals and present at IEEE/APS conferences
  • Mentor junior researchers and cross-functional AI integration teams
  • Secure $5M+ in government grants and venture capital for quantum initiatives
  • Drive partnerships with NASA and DARPA for space-exploration quantum applications

Qualifications

  • PhD in Physics, Computer Science, or Quantum Information with 3+ years postdoctoral experience
  • Published peer-reviewed research in Nature/Science journals on quantum coherence
  • Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
  • Proficiency in cryogenic engineering and quantum measurement techniques
  • Deep understanding of quantum supremacy benchmarks and NISQ-era limitations
  • Strong track record of securing DoE or NSF quantum research funding
  • Experience with tensor network simulations for quantum many-body systems
  • Clearance for DOE Q-NET collaboration preferred

Required Skills

Quantum Computing Cryogenic Engineering Qiskit Quantum Algorithms Fault-Tolerant Systems Quantum Cryptography Superconducting Qubits Machine Learning

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