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Quantum Computing Research Lead

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're seeking a visionary Quantum Computing Research Lead to pioneer breakthroughs that will redefine 2026 and beyond. In this pivotal role, you'll architect next-gen quantum algorithms, lead cross-disciplinary teams, and translate theoretical models into scalable industrial applications. Our Austin hub offers state-of-the-art labs, competitive equity packages, and unparalleled resources to accelerate your research.

We value disruptive thinkers who thrive at the intersection of physics, computer science, and practical innovation. If you're passionate about solving humanity's most complex challenges through quantum supremacy, this is your calling.

Responsibilities

  • Design and implement quantum algorithms for optimization and cryptography
  • Lead 15-person research team across quantum hardware/software domains
  • Collaborate with NASA, IBM, and MIT on quantum-adjacent projects
  • Secure $2M+ in annual research grants and partnerships
  • Develop patentable quantum solutions for healthcare and climate modeling
  • Publish 3+ peer-reviewed papers annually in Nature/Science journals
  • Mentor PhD candidates and postdoctoral researchers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of quantum computing research with 20+ citations
  • Expertise in Qiskit, Cirq, or quantum circuit optimization
  • Proven track record of securing government/industry grants
  • Experience leading R&D teams in high-growth tech environments
  • Published work in quantum error correction or topological qubits
  • Strong knowledge of quantum machine learning frameworks
  • US citizenship required for federal project compliance

Required Skills

Quantum Computing Qiskit Cryptography Algorithm Design Research Leadership Grant Writing Quantum Error Correction Machine Learning

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