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Quantum Computing Research Scientist

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

Job Description

Shape the future at QuantumLeap Dynamics, where we're pioneering the next frontier of computational technology. We're seeking a visionary Quantum Computing Research Scientist to join our elite team in San Francisco. This is your chance to work on projects that will redefine industries by 2026, leveraging quantum mechanics to solve previously unsolvable problems.

Our state-of-the-art lab provides access to quantum processors, superconducting qubits, and advanced simulation tools. You'll collaborate with Nobel laureates, publish groundbreaking research, and contribute to technologies that will power the next generation of AI, cryptography, and material science.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Develop error-correction protocols for quantum processors using topological qubits
  • Create hybrid quantum-classical computing frameworks for enterprise-scale solutions
  • Lead cross-functional teams of physicists and software engineers in prototype development
  • Secure patents for quantum encryption and communication breakthroughs
  • Present findings at IEEE Quantum Week and Nature Quantum conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (post-doc preferred)
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum circuit design
  • Proficiency with Qiskit, Cirq, or Q# programming frameworks
  • Published research in Nature/Science or IEEE journals on quantum computing
  • Experience with cryogenic quantum systems and superconducting qubits
  • Strong background in linear algebra, probability theory, and statistical mechanics
  • Ability to secure SBIR/STTR grants for quantum research initiatives

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Systems Qiskit Cirq Quantum Cryptography Topological Qubits Machine Learning Superconducting Circuits Patent Development

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