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Quantum Computing Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's quantum revolution. We're pioneering next-gen computational paradigms that will redefine industries. As Research Lead, you'll architect breakthrough quantum algorithms and mentor a world-class team pushing the boundaries of computational physics and machine learning. Our Austin campus offers unparalleled resources—including a 128-qubit quantum simulator—and collaborative partnerships with MIT and Stanford. Shape the future of technology while enjoying competitive benefits and a culture that celebrates audacious innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional research teams in developing fault-tolerant quantum computing architectures
  • Secure $2M+ in government and private sector R&D funding through compelling proposals
  • Publish breakthrough findings in Nature/Science journals and present at IEEE Quantum Week
  • Collaborate with hardware teams to co-design quantum processors and error-correction protocols
  • Develop IP strategy protecting core quantum methodologies for commercialization
  • Mentor PhD researchers and establish university partnerships for talent pipeline

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
  • 5+ years of industry R&D experience with quantum algorithms or quantum error correction
  • Published record in top-tier quantum computing publications (minimum 3 first-author papers)
  • Proficiency in Qiskit, Cirq, and quantum circuit optimization frameworks
  • Expertise in quantum machine learning and variational quantum algorithms
  • Proven track record of securing competitive research grants (NSF, DARPA, etc.)
  • Experience mentoring postdoctoral researchers and leading technical teams

Required Skills

quantum computing quantum algorithms quantum error correction machine learning Qiskit Cirq research funding fault-tolerant systems superconducting qubits

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