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Quantum Computing Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Scientist to develop groundbreaking algorithms and hardware innovations that will redefine computational boundaries. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay Bridge.

Our interdisciplinary team operates at the intersection of physics, computer science, and materials engineering to solve humanity's most complex challenges. You'll contribute to projects spanning quantum cryptography, drug discovery acceleration, and climate modeling simulations that will shape the next decade of scientific advancement.

Responsibilities

  • Design and implement novel quantum algorithms for NISQ-era hardware
  • Lead experimental validation of quantum supremacy protocols
  • Develop error correction frameworks for fault-tolerant quantum systems
  • Collaborate with hardware teams to optimize qubit coherence times
  • Publish breakthrough research in Nature/Science journals
  • Secure $2M+ in government/private research grants
  • Mentor postdoctoral researchers in quantum information theory

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years experience with quantum circuit simulation frameworks
  • Published research in top-tier quantum computing journals
  • Proficiency in Python/C++ and quantum SDKs (Qiskit, Cirq)
  • Deep understanding of quantum error correction codes
  • Experience with cryogenic quantum hardware systems
  • Track record of translating theoretical models to practical implementations
  • Strong background in machine learning for quantum systems

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction C++ Python Qiskit Cirq Cryogenics Machine Learning Research Methodology

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