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2026 Quantum Computing Researcher

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of quantum innovation as we shape the technological landscape of 2026. We're seeking a visionary Quantum Computing Researcher to pioneer breakthroughs in quantum algorithms, error correction, and hardware optimization. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from drug discovery to climate modeling.

This role offers unparalleled resources: access to our 128-qubit quantum processors, dedicated research budgets, and partnerships with leading academic institutions. If you're passionate about turning theoretical possibilities into tangible quantum advantages, this is your moment to redefine the future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research in quantum error correction techniques to achieve fault-tolerant computing
  • Collaborate with hardware teams to co-design next-generation quantum processors
  • Publish high-impact research in top-tier journals and present at international conferences
  • Secure external funding through NSF grants and industry partnerships
  • Mentor junior researchers and foster cross-functional innovation
  • Translate theoretical breakthroughs into practical quantum applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 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 journals
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Demonstrated ability to secure competitive research funding
  • Strong background in superconducting or photonic quantum systems

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Machine Learning Superconducting Systems Research Methodology

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