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Quantum AI Research Lead

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join our pioneering team at FutureTech Innovations to shape the quantum computing revolution by 2026. We're seeking a visionary Quantum AI Research Lead to develop next-gen algorithms that will redefine computational boundaries. This role offers unparalleled opportunity to work with cutting-edge quantum hardware and machine learning frameworks in a collaborative, forward-thinking environment. Our state-of-the-art labs in downtown San Francisco provide the perfect backdrop for groundbreaking research that will impact industries from pharmaceuticals to aerospace.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead cross-functional teams of quantum physicists and AI specialists
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware engineers to optimize quantum-AI hybrid architectures
  • Publish research in top-tier journals and present at international conferences
  • Secure $5M+ in research grants for 2026 quantum initiatives
  • Mentor junior researchers in quantum computing best practices

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years of hands-on quantum algorithm development experience
  • Proven track record of publishing in Nature/Science journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in machine learning frameworks (TensorFlow, PyTorch)
  • Demonstrated success leading technical research teams
  • Experience securing government or corporate research funding
  • Knowledge of NISQ-era quantum computing limitations and solutions

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Q# Qiskit TensorFlow Research Leadership Grant Writing

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