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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Lead to drive breakthroughs in quantum algorithms and error correction. This role offers unparalleled opportunities to shape the future of 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 curiosity meets cutting-edge resources. Enjoy competitive compensation, flexible work arrangements, and comprehensive benefits including equity and professional development stipends.

Responsibilities

  • Lead multidisciplinary teams in developing quantum algorithms for cryptography and optimization
  • Design and implement error correction protocols for quantum processors
  • Secure $2M+ annual research funding through NIH and NSF grants
  • Publish findings in top-tier journals (Nature, Science) and present at global conferences
  • Collaborate with industry partners to commercialize quantum applications
  • Mentor PhD researchers and postdoctoral fellows
  • Develop roadmap for quantum computing integration in 2026 enterprise solutions

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 5+ years of hands-on quantum computing research experience
  • Published record in quantum error correction or topological qubits
  • Proficiency in Qiskit, Cirq, or equivalent quantum frameworks
  • Experience leading federally funded research projects
  • Strong background in machine learning and high-performance computing
  • Excellent communication skills for technical and non-technical audiences
  • Ability to secure patents in quantum computing methodologies

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cryptography Machine Learning High-Performance Computing Research Leadership

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