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Quantum Computing Research Scientist

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop breakthrough algorithms and hardware architectures that will redefine computational boundaries. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world applications.

This role is perfect for ambitious minds passionate about solving humanity's greatest challenges through quantum mechanics. You'll work alongside Nobel laureates and industry pioneers in a culture that rewards curiosity and bold experimentation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols to stabilize quantum systems at scale
  • Collaborate with hardware teams to co-design next-generation quantum processors
  • Publish groundbreaking research in leading scientific journals and conferences
  • Lead cross-functional projects with AI and cybersecurity teams
  • Secure patents for proprietary quantum methodologies
  • Mentor junior researchers and foster quantum literacy across the organization

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum circuit design and quantum machine learning
  • Publication record in Nature/Science or equivalent tier journals
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Deep understanding of quantum decoherence and entanglement principles
  • Experience with high-performance computing environments
  • Strong analytical and problem-solving abilities

Required Skills

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

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