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Quantum Computing Research Lead

NexGen Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join NexGen Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-gen computational frameworks that will redefine industries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and computational science while collaborating with Nobel laureates and industry disruptors.

Our state-of-the-art facility in San Francisco's innovation district provides an environment where cutting-edge research meets real-world application. You'll lead a multidisciplinary team of physicists, engineers, and data scientists to develop scalable quantum systems capable of solving previously impossible problems.

Responsibilities

  • Design and implement quantum algorithms for machine learning optimization
  • Lead cross-functional teams in developing fault-tolerant quantum processors
  • Establish research frameworks for quantum-secure blockchain architectures
  • Collaborate with government agencies on quantum-resistant cryptography standards
  • Secure $5M+ in research funding through NSF and DARPA proposals
  • Present breakthrough findings at premier conferences like IEEE Quantum Week
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years experience with quantum error correction protocols
  • Published research in Nature or Science journals (2020-2023)
  • Expertise in Qiskit, Cirq, or equivalent quantum SDKs
  • Proven track record of securing federal research grants
  • Familiarity with NISQ-era hardware constraints
  • Strong background in topological quantum computing
  • US citizenship required for government collaboration

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Qiskit Cirq Cryptography Machine Learning Research Grant Writing

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