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Quantum AI Research Lead

NeuroTech Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join NeuroTech Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to redefine computational boundaries. As our Quantum AI Research Lead, you'll architect next-gen neural networks leveraging quantum entanglement principles. Collaborate with Nobel laureates in our state-of-the-art facility overlooking the Bay Bridge.

We offer competitive equity packages, unlimited R&D budget, and flexible hybrid work arrangements. Shape the future of human-computer interaction while mentoring the next generation of quantum engineers.

Responsibilities

  • Design and implement quantum neural network architectures using Qiskit and TensorFlow Quantum
  • Lead cross-functional teams in developing fault-tolerant quantum processors
  • Secure $5M+ annual research grants through NSF and DARPA proposals
  • Publish breakthrough findings in Nature Quantum and IEEE journals
  • Partner with MIT and Stanford on quantum supremacy benchmarks
  • Drive commercialization of quantum-AI hybrid systems

Qualifications

  • PhD in Quantum Computing, AI, or Physics with 5+ years industry experience
  • Published research in top-tier quantum computing publications
  • Expertise in Q#, Cirq, or equivalent quantum programming frameworks
  • Proven track record of securing federal research grants
  • Strong background in machine learning optimization algorithms
  • Experience leading teams of 10+ researchers
  • Active TS/SCI security clearance preferred

Required Skills

Quantum Computing Machine Learning Neural Networks Qiskit TensorFlow Quantum Research Leadership Grant Writing Fault-Tolerant Systems AI Optimization

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