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Quantum Computing Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 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 next-generation algorithms and drive breakthrough innovations in cryptography, materials science, and artificial intelligence. This role offers unparalleled opportunities to shape the future of computational science while collaborating with Nobel laureates and industry pioneers.

Our state-of-the-art facility in San Francisco's Innovation District provides an immersive environment where your ideas will transform theoretical concepts into tangible solutions. We offer competitive equity packages, flexible work arrangements, and dedicated R&D funding to accelerate your discoveries.

Responsibilities

  • Lead multidisciplinary teams in developing quantum algorithms for real-world applications
  • Design and optimize quantum circuits for error correction and scalability
  • Collaborate with AI researchers to integrate quantum machine learning models
  • Publish breakthrough research in top-tier scientific journals
  • Secure federal and private research grants for quantum initiatives
  • Mentor junior researchers and foster cross-departmental innovation
  • Develop patentable quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years of hands-on quantum algorithm development
  • Published research in quantum information science
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra and quantum mechanics
  • Proven track record of securing research funding
  • Experience mentoring technical teams
  • Knowledge of NISQ-era hardware limitations

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cryptography Machine Learning Research Scientific Publications Quantum Hardware

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