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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and hardware prototypes that will redefine computational paradigms. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources for experimental quantum systems development.

As part of our elite Quantum Research Division, you'll collaborate with Nobel laureates and industry pioneers to solve previously unsolvable problems in cryptography, material science, and artificial intelligence. We offer competitive equity packages, flexible work arrangements, and exclusive access to our quantum simulation cloud platform.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Develop error correction protocols for multi-qubit quantum systems
  • Collaborate on hardware-software co-design for next-generation quantum processors
  • Lead experimental validation of quantum supremacy claims
  • Publish high-impact research in peer-reviewed journals and conferences
  • Mentor junior researchers in quantum information theory
  • Secure patents for novel quantum computing methodologies

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum circuit design
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Published research in quantum error correction or fault tolerance
  • Deep understanding of quantum entanglement and decoherence
  • Experience with cryogenic quantum hardware systems
  • Strong background in linear algebra and probability theory
  • Track record of securing research grants or corporate funding

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Cryogenic Systems Linear Algebra Machine Learning

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