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Quantum Computing Research Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological revolution as we pioneer the next generation of quantum computing solutions. As a Quantum Computing Research Scientist, you'll design and implement cutting-edge algorithms to solve complex computational challenges that redefine industries. Our state-of-the-art lab in San Francisco offers unparalleled resources to advance quantum theory and practical applications. If you're passionate about shaping the future of computation and thrive in an environment where innovation meets collaboration, this is your opportunity to make history.

Responsibilities

  • Design and optimize quantum algorithms for practical business applications
  • Conduct advanced research on quantum error correction and qubit stability
  • Collaborate with engineering teams to prototype quantum hardware-software interfaces
  • Publish peer-reviewed papers and present findings at industry conferences
  • Lead cross-functional projects integrating quantum solutions with classical systems
  • Secure and manage research funding through grant applications
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Physics, Computer Science, or related quantitative field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum mechanics and linear algebra
  • Proven track record of high-impact publications
  • Experience with superconducting or photonic quantum systems
  • Ability to translate theoretical concepts into scalable prototypes
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cirq Quantum Mechanics Linear Algebra Superconducting Systems Machine Learning Python C++ Research Methodology

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