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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum algorithms that will redefine 2026's technological landscape. As a Research Scientist, you'll architect next-gen quantum systems solving problems deemed impossible today. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications.

Why Nexus Quantum Labs? We're not just preparing for the future – we're building it. With 15+ industry partners and $50M in funding, our team of Nobel laureates and Turing awardees is accelerating quantum adoption across finance, healthcare, and AI. Enjoy flexible R&D time, patent ownership, and collaboration with MIT and Stanford quantum initiatives.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation
  • Lead experimental validation of quantum supremacy benchmarks
  • Develop error correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to co-design quantum processors
  • Publish in Nature/Science journals and present at IEEE Quantum Week
  • Secure $2M+ in quantum computing grants from NSF/DoE
  • Mentor PhD researchers in quantum machine learning applications

Qualifications

  • PhD in Quantum Physics/Computer Science or equivalent experience
  • 3+ years in quantum algorithm development or quantum error correction
  • Published work in top-tier quantum computing journals/conferences
  • Proficiency in Qiskit, Cirq, or quantum circuit simulators
  • Experience with superconducting or trapped-ion quantum platforms
  • Deep understanding of quantum entanglement and decoherence
  • Strong Python/C++ programming skills with numerical libraries

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Superconducting Qubits Trapped-Ion Systems Python C++ Quantum Machine Learning

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