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Quantum Computing Research Lead 2026

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

Job Description

Join Nexus Quantum Labs at the forefront of computational revolution as we pioneer the next generation of quantum systems. As our Quantum Computing Research Lead 2026, you'll architect breakthrough solutions that redefine industry boundaries. We're seeking a visionary leader to drive our 5-year roadmap, transforming theoretical quantum advantage into tangible commercial applications.

Our state-of-the-art facility in San Francisco's tech epicenter offers unparalleled resources for experimentation and collaboration. You'll lead a multidisciplinary team of physicists, engineers, and AI specialists while shaping the future of computational science.

Responsibilities

  • Architect and execute quantum computing R&D roadmap for 2026-2030
  • Lead cross-functional teams in developing fault-tolerant quantum processors
  • Drive commercial applications in cryptography, materials science, and AI optimization
  • Secure $5M+ annual research funding through grant proposals and industry partnerships
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor next-generation quantum engineers through our fellowship program
  • Collaborate with global academic institutions (MIT, Caltech, ETH Zurich)

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 8+ years in quantum computing research with hardware-software integration experience
  • Proven track record of securing major research grants ($3M+)
  • Expertise in quantum error correction and topological qubit systems
  • Published research in Nature/Science or equivalent tier journals
  • Strong leadership experience managing research teams of 10+
  • Deep knowledge of quantum machine learning algorithms
  • US citizenship or permanent residency required for clearance

Required Skills

Quantum Computing Fault-Tolerant Systems Quantum Error Correction Research Leadership Grant Writing Quantum Machine Learning Cryogenic Engineering Topological Qubits

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