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Quantum Computing Scientist

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of quantum revolution! We're pioneering next-generation computing solutions that will redefine technological possibilities by 2026. As a Quantum Computing Scientist, you'll collaborate with world-class researchers to develop scalable quantum algorithms and hardware prototypes. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical concepts into breakthrough applications.

We value innovation, diversity, and intellectual curiosity. If you're passionate about solving humanity's most complex challenges through quantum mechanics, this is your opportunity to shape the future.

Responsibilities

  • Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
  • Collaborate on quantum hardware development and error mitigation strategies
  • Lead research initiatives in quantum supremacy and fault-tolerant systems
  • Publish findings in peer-reviewed journals and present at industry conferences
  • Mentor junior scientists and cross-functional engineering teams
  • Secure external funding through grant proposals and industry partnerships
  • Develop quantum simulation tools for classical computing platforms

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in quantum error correction and fault tolerance
  • Proficient in Python, C++, and high-performance computing frameworks
  • Published work in quantum computing or theoretical physics
  • Demonstrated ability to translate complex theories into practical applications
  • Excellent problem-solving skills and innovative mindset

Required Skills

Quantum Computing Quantum Algorithms Q# Python Machine Learning Cryptography Fault Tolerance High-Performance Computing

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