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Quantum Computing Research Lead

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum computing solutions. As a Quantum Computing Research Lead, you'll architect breakthrough systems that redefine computational boundaries and solve previously impossible problems. Our interdisciplinary team collaborates with global partners to develop quantum algorithms, optimize error correction protocols, and build scalable quantum processors. We offer competitive compensation, cutting-edge resources, and the autonomy to drive transformative research in one of the world's most dynamic tech hubs.

Responsibilities

  • Lead quantum algorithm development for cryptography, optimization, and simulation applications
  • Design and implement quantum error correction systems with 99.9% fidelity targets
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Publish research in top-tier journals and present at international conferences
  • Secure $2M+ annual research funding through government and industry partnerships
  • Mentor PhD researchers and cross-functional engineering teams
  • Develop quantum security frameworks for next-gen communication networks

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Published research in Nature/Science or equivalent high-impact journals
  • Expertise in quantum circuit design and quantum machine learning frameworks
  • Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
  • Experience leading multi-disciplinary research teams of 10+ members
  • Strong track record of securing government research grants
  • Deep understanding of quantum decoherence and mitigation strategies
  • US citizenship required for federal contract compliance

Required Skills

Quantum Computing Quantum Algorithms Cryptography Machine Learning Research Leadership Qiskit Q# Error Correction Scientific Publishing

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