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Quantum Computing Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect the next generation of computational systems that will revolutionize industries from healthcare to logistics. This role offers unparalleled opportunities to shape the future of technology while working with Nobel laureates and industry pioneers in our state-of-the-art research facility.

Responsibilities

  • Lead a multidisciplinary research team in developing quantum algorithms with practical applications for 2026-era challenges
  • Architect scalable quantum computing architectures optimized for real-world deployment
  • Collaborate with Fortune 500 partners to translate quantum research into commercial solutions
  • Secure federal and private research funding through innovative grant proposals
  • Pioneer quantum error correction techniques to achieve fault-tolerant computation
  • Develop proprietary quantum simulation frameworks for drug discovery and materials science
  • Publish breakthrough research in top-tier journals and industry conferences

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 8+ years of industry experience
  • Proven track record of publishing quantum computing research in Nature/Science journals
  • Expertise in quantum error correction, topological qubits, or quantum machine learning
  • Experience securing $5M+ in research funding from DARPA, NSF, or equivalent
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and HPC environments
  • Demonstrated ability to lead cross-functional technical teams of 15+ researchers
  • Deep understanding of quantum-classical hybrid computing architectures

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Q# Superconducting Qubits Topological Computing Machine Learning HPC Research Leadership

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