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2026 Quantum AI Research Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI integration for 2026 and beyond. We seek a visionary Research Lead to architect next-generation systems that will redefine human-machine collaboration. This role offers unparalleled opportunities to shape the future of computational intelligence while working with Nobel Prize-winning researchers in our state-of-the-art facility.

Our culture thrives on intellectual curiosity and bold experimentation. You'll lead a multidisciplinary team pushing boundaries in quantum machine learning, neural-quantum interfaces, and autonomous decision systems. Enjoy competitive equity packages, flexible work arrangements, and exclusive access to our Innovation Lab where tomorrow's technologies are born today.

Responsibilities

  • Architect quantum-AI hybrid systems for 2026-era applications
  • Lead cross-functional teams in developing neural-quantum computing prototypes
  • Secure $5M+ in research grants from NSF and DARPA
  • Publish breakthrough findings in Nature/Science journals
  • Mentor PhD researchers in quantum machine learning
  • Collaborate with Intel/IBM on quantum hardware integration
  • Develop ethical frameworks for AI-quantum decision systems

Qualifications

  • PhD in Quantum Computing or AI with 8+ years research experience
  • Published 15+ peer-reviewed papers in top-tier journals
  • Expertise in quantum neural networks and error correction
  • Proven track record securing federal research funding
  • Proficiency in Qiskit, Cirq, and TensorFlow Quantum
  • Experience leading international research consortia
  • Deep understanding of quantum-classical hybrid architectures

Required Skills

Quantum Computing Machine Learning AI Research Neural Networks Quantum Algorithms Research Leadership Scientific Grant Writing Quantum Error Correction

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