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Information Technology 🏢 Full Time ⭐️ Verified

AI & Quantum Computing Research Scientist

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

Job Description

Join FutureTech Innovations at the forefront of technological evolution. We're seeking a visionary AI & Quantum Computing Research Scientist to architect solutions that will define 2026 and beyond. In this role, you'll pioneer breakthroughs in machine learning algorithms and quantum systems, working alongside Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab. We offer unparalleled resources, flexible work arrangements, and the opportunity to shape humanity's technological future. If you thrive at the intersection of theoretical physics and artificial intelligence, this is your calling.

Responsibilities

  • Lead R&D initiatives in quantum machine learning and AI optimization
  • Develop novel quantum algorithms for real-world applications
  • Collaborate with hardware teams to bridge quantum theory and practical implementation
  • Publish groundbreaking research in top-tier journals and conferences
  • Mentor junior researchers and drive innovation workshops
  • Secure patents and intellectual property for proprietary technologies
  • Partner with global academic institutions for knowledge exchange

Qualifications

  • PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
  • Expertise in quantum programming frameworks (Qiskit, Cirq, or similar)
  • Proven track record of peer-reviewed publications in AI/quantum fields
  • Mastery of Python, TensorFlow/PyTorch, and high-performance computing
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Strong background in linear algebra, probability theory, and information theory
  • Exceptional problem-solving skills for complex interdisciplinary challenges

Required Skills

Quantum Computing Machine Learning AI Research Python TensorFlow Qiskit High-Performance Computing Theoretical Physics

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