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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-generation algorithms and systems that will redefine computational boundaries. Our interdisciplinary team operates at the intersection of physics, computer science, and AI, pushing the limits of what's possible in quantum supremacy.

What you'll achieve: Design scalable quantum algorithms, optimize qubit coherence times, and collaborate with industry leaders to solve complex problems in cryptography, materials science, and artificial intelligence. You'll work in state-of-the-art labs with cutting-edge hardware and contribute directly to patent-pending innovations.

Responsibilities

  • Develop novel quantum algorithms and error-correction protocols
  • Lead experimental quantum hardware testing and optimization
  • Collaborate with AI teams to integrate quantum machine learning models
  • Publish breakthrough research in top-tier journals/conferences
  • Secure patents for quantum computing innovations
  • Mentor junior researchers in quantum theory and applications
  • Partner with government agencies on quantum security initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, etc.)
  • Published research in quantum computing or quantum information theory
  • Expertise in quantum error correction and decoherence mitigation
  • Strong background in linear algebra, probability, and complex analysis
  • Experience with superconducting or trapped-ion quantum systems

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Superconducting Qubits Machine Learning Cryptography Physics Computer Science

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