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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Lead

FutureTech Innovations
Austin
Estimated Salary
USD 220.000 – USD 320.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the technological frontier by leading cutting-edge research at the intersection of quantum computing and artificial intelligence. FutureTech Innovations seeks a visionary Quantum AI Research Lead to pioneer breakthroughs that will define the next decade of computational excellence. Join our elite team in Austin's thriving tech ecosystem and accelerate humanity's transition to quantum-powered intelligence.

What We Offer:

  • Competitive equity package with industry-leading upside
  • Unlimited R&D budget and state-of-the-art lab access
  • Collaborative environment with Nobel Prize-winning researchers
  • Comprehensive benefits including teleportation wellness credits

Responsibilities

  • Lead cross-functional teams in developing quantum neural networks for real-world applications
  • Design and implement novel quantum algorithms for machine learning acceleration
  • Secure multi-million dollar research grants and strategic partnerships
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor next-generation quantum AI specialists through FutureTech's Quantum Academy
  • Develop ethical frameworks for quantum AI deployment and bias mitigation
  • Collaborate with government agencies on quantum security initiatives

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Published research in Nature/Science or equivalent on quantum machine learning
  • Expertise in quantum circuit design and error correction methodologies
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Track record of securing $2M+ in research funding
  • Experience leading teams of 10+ researchers in high-stakes environments
  • Deep understanding of quantum advantage benchmarks and limitations

Required Skills

Quantum Computing Machine Learning Neural Networks Quantum Algorithms Qiskit Q# Error Correction Research Leadership Ethics High-Performance Computing

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