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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Lead

FutureCore Technologies
San Francisco, CA
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join FutureCore Technologies at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Lead to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. As a key architect of our next-gen AI infrastructure, you'll shape how humanity solves complex global challenges—from climate modeling to personalized medicine. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where innovation thrives.

Why FutureCore? We're not just building for tomorrow—we're creating it. Our team of Nobel laureates and Turing Award winners collaborates in an environment that values audacious thinking and rigorous experimentation. With industry-leading quantum hardware and AI frameworks, you'll have everything needed to turn theoretical possibilities into tangible solutions.

Responsibilities

  • Lead quantum AI algorithm development for real-world applications in optimization, cryptography, and machine learning
  • Design and execute large-scale quantum simulations on our 1000+ qubit systems
  • Collaborate with cross-functional teams to integrate quantum-accelerated models into production AI pipelines
  • Publish breakthrough research in top-tier journals and present at premier conferences
  • Mentor a team of quantum AI researchers and engineers
  • Identify emerging quantum computing trends and translate them into product opportunities
  • Secure government and industry partnerships for quantum AI initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 5+ years of hands-on experience with quantum programming (Qiskit, Cirq, or equivalent)
  • Expertise in machine learning frameworks (PyTorch, TensorFlow) and classical AI optimization
  • Proven track record of publishing peer-reviewed quantum AI research
  • Strong background in quantum error correction and fault-tolerant architectures
  • Experience leading technical teams and managing research projects
  • Deep understanding of NISQ-era limitations and post-quantum cryptography
  • Exceptional problem-solving skills for complex multi-variable systems

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Programming Research Leadership Cryptography Physics Python C++ Qiskit TensorFlow

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