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Quantum Computing Research Scientist

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of computational revolution. We're pioneering quantum algorithms that will redefine industries by 2026. As a key member of our research team, you'll develop breakthrough quantum solutions in cryptography, optimization, and machine learning. Our state-of-the-art lab in San Francisco offers unparalleled resources to explore uncharted territories of quantum supremacy. Collaborate with Nobel laureates and industry disruptors in an environment that values bold innovation. We offer competitive compensation, equity, and flexible work arrangements to empower your quantum journey.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish findings in top-tier journals and present at international conferences
  • Develop patentable quantum computing methodologies for commercial deployment
  • Mentor junior researchers and cross-functional engineering teams
  • Secure government and industry research grants for quantum projects

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#)
  • Strong publication record in quantum information science
  • Proficiency in quantum simulation frameworks and high-performance computing
  • Experience with quantum hardware platforms (IBM, Rigetti, IonQ)
  • Deep understanding of quantum algorithms and complexity theory
  • Ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Cryptography Machine Learning High-Performance Computing

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