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2026 Quantum AI Research Lead

Nexus Future Labs
San Francisco
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 technological evolution as we pioneer quantum-AI integration for 2026. We're seeking a visionary Research Lead to architect next-generation computational frameworks that will redefine industries. This role offers unparalleled access to our $500M R&D fund and collaboration with Nobel laureates. Our state-of-the-art facility in San Francisco's Tech District houses 100+ quantum processors and AI supercomputers.

As part of our elite Future Systems Division, you'll shape the decade's most transformative technologies while enjoying comprehensive benefits including equity, relocation assistance, and flexible hybrid work arrangements. We offer 15% time for moonshot projects and dedicated sabbatical programs.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for 2026-era computational challenges
  • Lead cross-disciplinary teams of physicists, ML engineers, and domain specialists
  • Secure $2M+ in federal/industry grants for quantum research initiatives
  • Develop patent-pending quantum neural network architectures
  • Establish industry standards for quantum-AI safety protocols
  • Mentor PhD researchers and publish in Nature/Science journals
  • Forge partnerships with MIT, CERN, and national quantum labs

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 5+ years in quantum algorithm development with published breakthroughs
  • Expertise in TensorFlow Quantum, PennyLane, or similar frameworks
  • Proven track record securing government research grants
  • Deep understanding of quantum error correction and fault tolerance
  • Experience leading teams of 10+ technical researchers
  • Published work in top-tier quantum/AI conferences (QIP, NeurIPS)
  • Clearance for DOE/NIST quantum research programs preferred

Required Skills

Quantum Computing Machine Learning TensorFlow Quantum PennyLane Quantum Algorithms Research Leadership Grant Writing AI Safety Fault Tolerance

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