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Quantum Computing Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Lead to architect next-gen computational paradigms that will redefine industries. In this pivotal role, you'll lead a multidisciplinary team to develop scalable quantum algorithms, optimize error-correction protocols, and translate theoretical breakthroughs into real-world applications.

Our San Francisco hub offers unparalleled resources including state-of-the-art quantum processors, collaborative innovation spaces, and partnerships with leading academic institutions. You'll shape our quantum roadmap while mentoring the next generation of quantum scientists.

Responsibilities

  • Lead quantum algorithm research for cryptography, optimization, and machine learning applications
  • Design and implement fault-tolerant quantum computing architectures
  • Collaborate with hardware teams to co-design quantum processors and control systems
  • Publish groundbreaking research in top-tier quantum computing journals
  • Secure $5M+ in government and industry research grants
  • Mentor PhD-level researchers and cross-functional engineering teams
  • Develop quantum security frameworks for post-quantum cryptography

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Published research in quantum algorithms or quantum error correction
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Proven track record of securing federal research grants
  • Deep understanding of quantum hardware architectures (superconducting, photonic, trapped ions)
  • Experience leading technical teams of 10+ researchers
  • Strong background in machine learning and classical-quantum hybrid systems

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Computing Quantum Programming Machine Learning Cryptography Research Leadership Grant Writing

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