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Quantum AI Research Lead

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

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Lead to architect breakthrough systems at the intersection of quantum computing and artificial intelligence. This role offers unparalleled opportunity to shape the next generation of computational paradigms that will redefine industries worldwide.

Our Austin-based innovation hub combines cutting-edge infrastructure with a culture of audacious experimentation. As part of our elite research division, you'll collaborate with Nobel laureates and Turing Award winners to develop quantum algorithms capable of solving previously intractable problems in materials science, climate modeling, and personalized medicine. We provide competitive equity packages, flexible work arrangements, and dedicated R&D funding.

Responsibilities

  • Design and implement novel quantum machine learning architectures for 2026-era computational challenges
  • Lead cross-disciplinary teams of physicists, AI specialists, and domain experts
  • Develop error-corrected quantum circuits optimized for real-world deployment
  • Establish strategic partnerships with quantum hardware providers and research institutions
  • Publish breakthrough research in top-tier journals and conferences
  • Translate theoretical advances into patentable quantum AI applications
  • Mentor next-generation researchers through our Future Fellows program

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field (10+ years experience)
  • Proven track record of publishing in Nature/Science or equivalent tier journals
  • Expertise in quantum algorithms, error correction, and hybrid quantum-classical systems
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Experience securing $1M+ in research grants or corporate funding
  • Demonstrated ability to lead high-performance technical teams
  • Deep understanding of ethical implications of advanced AI systems

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Error Correction Research Leadership High-Performance Computing AI Ethics Quantum Programming Scientific Innovation

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