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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 quantum innovation! We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and systems that will redefine computational boundaries in 2026 and beyond. Our interdisciplinary team collaborates with MIT, Caltech, and industry pioneers to solve humanity's most complex challenges. Enjoy flexible work arrangements, cutting-edge resources, and competitive benefits including equity and patent bonuses.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental validation of quantum hardware performance on superconducting and photonic systems
  • Develop error correction protocols to achieve fault-tolerant quantum computation
  • Collaborate with software engineers to create quantum-classical hybrid computing frameworks
  • Publish research in Nature/Science journals and present at IEEE Quantum Week
  • Secure $5M+ in research grants through DARPA and NSF proposals
  • Mentor PhD candidates and lead cross-functional innovation sprints

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Expertise in Qiskit, Cirq, or quantum circuit simulation platforms
  • Published research in top-tier quantum computing conferences (QIP, QCE)
  • Proficiency in Python, C++, and high-performance computing environments
  • Demonstrated experience with quantum hardware calibration protocols
  • Strong background in linear algebra and quantum information theory
  • Track record of translating theoretical concepts into practical implementations
  • Security clearance eligibility preferred for government projects

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Superconducting Qubits Photonic Quantum Computing Error Correction Machine Learning Python C++ High-Performance Computing

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