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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
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 for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop next-generation algorithms and protocols that will redefine computational boundaries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facility in the heart of San Francisco.

This role offers unparalleled opportunities to shape the future of artificial intelligence, cryptography, and computational physics. You'll work on projects with real-world impact across healthcare, climate modeling, and space exploration. We provide competitive equity packages, flexible work arrangements, and unlimited professional development through our partnership with MIT's Quantum Engineering Center.

Responsibilities

  • Design and implement novel quantum algorithms for error correction and optimization
  • Lead cross-functional teams in prototyping quantum-resistant cryptographic systems
  • Develop machine learning frameworks for quantum hardware acceleration
  • Author peer-reviewed publications for Nature Physics and IEEE journals
  • Secure $5M+ in government and industry research grants
  • Mentor PhD candidates in quantum information theory
  • Present breakthrough findings at Davos and World Economic Forums

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (top 10 university)
  • 3+ years of experience with quantum simulators (Qiskit, Cirq)
  • Published research in quantum error correction or topological qubits
  • Expertise in tensor networks and quantum machine learning
  • Proficiency in Python, C++, and quantum assembly languages
  • Track record of securing NSF or DARPA grants
  • Experience with cryogenic quantum hardware interfaces

Required Skills

Quantum Computing Qiskit Cirq Cryptography Machine Learning Python C++ Tensor Networks

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