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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Lead, you'll architect next-gen algorithms that redefine computational boundaries. Our multidisciplinary team leverages cutting-edge hardware and theoretical physics to solve previously unsolvable challenges in cryptography, drug discovery, and climate modeling. We offer competitive equity packages, flexible hybrid work arrangements, and a state-of-the-art lab overlooking the Bay. If you're passionate about shaping the technological landscape of tomorrow, this is your moment to make history.

Responsibilities

  • Lead quantum algorithm development for practical 2026 applications
  • Collaborate with hardware teams to optimize qubit stability and error correction
  • Publish breakthrough research in top-tier journals and conferences
  • Manage cross-functional teams of physicists, engineers, and data scientists
  • Develop ethical frameworks for quantum deployment in sensitive industries
  • Secure $5M+ in annual research funding through NSF and DARPA proposals
  • Translate theoretical advances into patentable commercial solutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum algorithm development experience
  • Published research in Nature/Science or equivalent tier journals
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proven track record securing government research grants
  • Proficiency in Qiskit, Cirq, and quantum simulation frameworks
  • Experience mentoring postdoctoral researchers and PhD candidates
  • Deep understanding of NISQ-era limitations and 2026 roadmap challenges

Required Skills

Quantum Computing Algorithm Development Qiskit Cirq Quantum Error Correction Research Funding Ethical AI Fault-Tolerant Systems

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