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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological revolution in 2026. We're pioneering quantum computing solutions that will redefine industries. As a Research Scientist, you'll collaborate with Nobel laureates and cutting-edge engineers to develop scalable quantum algorithms. Our state-of-the-art lab in San Francisco offers unparalleled resources to push the boundaries of computational physics. Enjoy competitive benefits, flexible work arrangements, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead experimental research on quantum error correction protocols
  • Develop theoretical models for quantum hardware performance enhancement
  • Collaborate with engineering teams to translate research into practical applications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Secure federal and private research funding through compelling proposals

Qualifications

  • PhD in Physics, Computer Science, or related field (post-doc preferred)
  • 3+ years of hands-on quantum computing research experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum mechanics and information theory
  • Publication record in quantum computing or quantum information science
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Strong analytical skills and ability to work in cross-functional teams
  • US citizenship or permanent residency required for government contracts

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Quantum Mechanics Theoretical Physics Machine Learning High-Performance Computing

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