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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution! We're pioneering quantum computing breakthroughs that will redefine industries by 2026. As a Quantum Computing Research Scientist, you'll develop cutting-edge algorithms and solve previously unsolvable problems in cryptography, material science, and AI optimization. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative opportunities with world-class physicists and engineers. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including stock options and professional development grants.

Responsibilities

  • Design and implement quantum algorithms for practical applications in finance, healthcare, and logistics
  • Lead experimental validation of quantum supremacy claims on 1000+ qubit systems
  • Collaborate with hardware teams to optimize quantum error correction protocols
  • Publish breakthrough research in top-tier journals and industry conferences
  • Develop patents for novel quantum computing methodologies
  • Mentor junior researchers and cross-functional innovation teams
  • Secure federal and private funding for quantum computing initiatives

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum hardware architectures (superconducting, trapped ion, photonic)
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience securing SBIR grants or similar research funding
  • Track record of translating theoretical concepts into experimental prototypes

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Superconducting Qubits Machine Learning Cryptography

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