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2026 Quantum AI Research Lead

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the future with Nexus Quantum Labsβ€”a pioneering force in 2026 quantum AI integration. We're seeking a visionary Research Lead to spearhead breakthroughs at the intersection of quantum computing and artificial intelligence. Join our elite team at our San Francisco headquarters, where cutting-edge research meets real-world application. You'll drive projects that will redefine computational paradigms and accelerate technological evolution for the next decade.

At Nexus, we offer competitive compensation, unparalleled research resources, and a culture that celebrates intellectual curiosity. Your work will directly influence quantum machine learning architectures, error correction protocols, and hybrid quantum-classical systems destined to transform industries from healthcare to aerospace.

Responsibilities

  • Architect and execute quantum AI research strategies targeting 2026 computational milestones
  • Lead cross-functional teams of quantum physicists and ML engineers to develop novel algorithms
  • Design fault-tolerant quantum neural networks for real-world deployment
  • Collaborate with hardware teams to optimize quantum-AI co-design frameworks
  • Secure $2M+ in annual research grants and publish in Nature/Science journals
  • Drive commercialization of quantum AI solutions through strategic partnerships
  • Mentor next-gen quantum researchers and establish lab-wide R&D standards

Qualifications

  • PhD in Quantum Computing, Theoretical Physics, or AI with 5+ years research experience
  • Proven track record in quantum machine learning or quantum neural networks
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and Python frameworks
  • Published work in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
  • Experience leading federally funded quantum research projects
  • Deep understanding of quantum error correction and NISQ-era limitations
  • Strong background in high-performance computing and distributed systems

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Python Quantum Error Correction Neural Networks High-Performance Computing

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