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Quantum Computing Research Scientist

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

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution. As a Quantum Computing Research Scientist, you'll pioneer breakthroughs that will redefine computing by 2026. Our interdisciplinary team leverages cutting-edge quantum hardware and AI-driven simulations to solve previously unsolvable challenges in cryptography, materials science, and optimization.

We offer a dynamic environment where your expertise will directly impact real-world applications. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art labs, equipped with quantum annealers and superconducting processors. This role includes competitive equity packages, flexible work arrangements, and dedicated R&D funding for your breakthrough projects.

Responsibilities

  • Design and execute quantum algorithms for complex optimization problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to prototype quantum processors
  • Lead cross-functional projects integrating quantum and classical computing
  • Publish high-impact research in top-tier journals and conferences
  • Secure patents for novel quantum methodologies
  • Mentor junior researchers in quantum computing principles

Qualifications

  • PhD in Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing experience
  • Proficiency in quantum programming languages (Q#, Qiskit)
  • Strong background in quantum error correction and fault tolerance
  • Publication record in quantum computing or related fields
  • Experience with quantum hardware architectures (superconducting, trapped ions)
  • Expertise in quantum machine learning algorithms
  • Ability to secure government and private research grants

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Q# Machine Learning Superconducting Processors Cryptography Research Fault-Tolerant Systems

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