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Quantum Computing Research Lead

Nexus Quantum 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 Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Lead to architect next-gen quantum systems that will redefine computing paradigms. Our cutting-edge lab in San Francisco offers unparalleled resources to transform theoretical physics into real-world applications.

As a key member of our elite Quantum Research Division, you'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum processors. This role offers competitive equity packages, unlimited PTO, and a dedicated research budget for breakthrough innovations.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Lead cross-functional teams of physicists and engineers in quantum hardware development
  • Establish research roadmap for quantum supremacy achievements by 2026
  • Secure federal and private research funding through grant proposals
  • Author peer-reviewed publications and contribute to industry standards
  • Mentor postdoctoral researchers in quantum information theory
  • Develop quantum security protocols for next-gen cryptography systems

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of experience in quantum computing research
  • Published research in top-tier journals (Nature, Science, etc.)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency with quantum programming languages (Qiskit, Cirq, etc.)
  • Experience with superconducting or photonic quantum systems
  • Demonstrated ability to secure $1M+ in research grants
  • Strong background in linear algebra and quantum mechanics

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Quantum Error Correction Cirq Qiskit Machine Learning Cryptography Research Leadership

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