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Quantum Computing Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 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 a visionary Quantum Computing Research Lead to architect breakthrough systems that will redefine computational capabilities. In this pivotal role, you'll lead a multidisciplinary team of physicists and engineers to develop scalable quantum processors, design fault-tolerant algorithms, and commercialize quantum applications across finance, cryptography, and materials science.

What you'll achieve:

  • Drive quantum hardware innovation to achieve quantum supremacy milestones
  • Develop hybrid quantum-classical frameworks for enterprise solutions
  • Secure $10M+ in government and private research funding
  • Establish industry standards for quantum-safe cryptography

Responsibilities

  • Lead quantum algorithm development for optimization and simulation problems
  • Design error correction protocols for 100+ qubit processors
  • Collaborate with Fortune 500 partners to implement quantum use cases
  • Publish breakthrough research in Nature/Science journals
  • Manage $15M R&D budget and 15-person research team
  • File 5+ patents annually in quantum computing domains
  • Shape industry standards through IEEE and NIST participation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of quantum computing R&D experience
  • Proven track record of publishing in top-tier quantum journals
  • Expertise in quantum error correction and fault tolerance
  • Experience securing government research grants
  • Strong knowledge of superconducting and photonic qubit systems
  • Demonstrated leadership in managing technical teams
  • Patents or commercial quantum deployments preferred

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Superconducting Qubits Quantum Error Correction Machine Learning High-Performance Computing Patent Law Grant Writing

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