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Quantum Computing Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to develop next-gen quantum algorithms and hardware systems that will redefine computational capabilities. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate breakthroughs in cryptography, materials science, and artificial intelligence.

About QuantumLeap: We're a forward-thinking startup backed by leading venture capital firms, dedicated to making quantum computing commercially viable by 2026. Our team of Nobel laureates and industry experts collaborates in an environment that encourages bold experimentation and rapid prototyping.

Responsibilities

  • Design and implement novel quantum algorithms for complex problem-solving
  • Conduct cutting-edge research in quantum error correction and fault tolerance
  • Collaborate with hardware engineers to optimize quantum processor architectures
  • Develop quantum machine learning frameworks for real-world applications
  • Publish findings in leading scientific journals and present at international conferences
  • Mentor junior researchers and drive cross-functional innovation projects

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra and quantum information theory
  • Publication record in top-tier quantum computing journals
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Q# Qiskit Cirq Quantum Machine Learning Linear Algebra Quantum Information Theory

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