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2026 Quantum AI Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Lead a multidisciplinary team in developing next-generation algorithms that will redefine computational boundaries and solve humanity's most complex challenges.

As a cornerstone of our Innovation Division, you'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility overlooking the Bay. We offer unparalleled resources, including quantum annealing clusters and exascale AI supercomputers, to accelerate your research from theoretical concept to real-world application.

Responsibilities

  • Architect and execute quantum AI research roadmap targeting 2026 technological milestones
  • Lead cross-functional teams of quantum physicists, ML engineers, and domain specialists
  • Develop novel quantum machine learning algorithms for optimization and simulation
  • Secure and manage $5M+ in research grants from NSF and DARPA
  • Publish breakthrough findings in Nature/Science and keynote at IEEE Quantum Week
  • Translate theoretical advances into patentable quantum AI applications
  • Mentor postdoctoral researchers in quantum computational theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years research
  • Published 10+ papers in top-tier quantum/AI journals (Nature, PRL, etc.)
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
  • Proven track record of securing federal research funding
  • Deep understanding of quantum error correction and fault tolerance
  • Experience with quantum hardware (IBM Q, Rigetti, D-Wave)
  • Exceptional ability to communicate complex quantum concepts to diverse stakeholders

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Research Leadership Quantum Algorithms High-Performance Computing Scientific Grant Writing Patent Development

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