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2026 Quantum AI Research Lead

Nexus Quantum Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration for 2026. We're seeking a visionary Research Lead to architect transformative systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of artificial intelligence through quantum supremacy, working alongside Nobel Prize-winning physicists and Turing Award recipients in our state-of-the-art Austin facility.

Our team operates at the intersection of quantum mechanics, machine learning, and computational theory, developing breakthrough applications in cryptography, materials science, and autonomous systems. You'll lead a cross-disciplinary group of PhD researchers while securing multi-million dollar grants from NSF and DARPA.

Responsibilities

  • Architect quantum-AI hybrid systems targeting 2026 commercial viability
  • Lead 12-person research team in quantum algorithm development
  • Secure $5M+ in government/private research funding annually
  • Develop patentable protocols for quantum neural networks
  • Collaborate with MIT and Stanford on quantum cloud infrastructure
  • Publish in Nature/Science journals with 25+ citation impact
  • Present findings at IEEE Quantum Week and AI Frontiers conferences

Qualifications

  • PhD in Quantum Computing or AI with 8+ years industry experience
  • Published 15+ papers in quantum machine learning
  • Expertise in Qiskit, Cirq, and quantum error correction
  • Track record of securing $3M+ in research grants
  • Proficiency in tensor network simulations and quantum annealing
  • Experience leading teams with 10+ members
  • Deep understanding of NISQ-era limitations and fault-tolerant designs

Required Skills

Quantum Computing Machine Learning AI Research Qiskit Cirq Algorithm Design Grant Writing Team Leadership Patent Development Tensor Networks

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