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Information Technology 🏢 Full Time ⭐️ Verified

2026 Quantum AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations at the frontier of computational science! We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs in quantum machine learning that will redefine technology by 2026. This role combines cutting-edge quantum computing with artificial intelligence to solve previously unsolvable challenges in cryptography, materials science, and complex systems modeling.

You'll work in our state-of-the-art Quantum AI Lab, collaborating with Nobel laureates and industry disruptors. Our team operates at the intersection of theoretical physics, advanced algorithms, and practical implementation to create quantum-optimized AI systems that will power the next generation of technology.

Responsibilities

  • Design and implement quantum algorithms for machine learning applications targeting 2026 technological milestones
  • Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
  • Develop hybrid quantum-classical computing frameworks for real-world AI applications
  • Collaborate with hardware engineers to optimize quantum AI solutions on next-generation quantum processors
  • Publish breakthrough research in top-tier journals and present at international quantum computing conferences
  • Mentor junior researchers and establish best practices in quantum AI development

Qualifications

  • PhD in Quantum Computing, Machine Learning, Physics, or related field
  • 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar frameworks)
  • Expertise in advanced machine learning architectures and optimization techniques
  • Published research in quantum machine learning or quantum information science
  • Strong background in linear algebra, quantum mechanics, and computational complexity
  • Experience with high-performance computing environments and distributed systems
  • Proven ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Python C++ Qiskit TensorFlow PyTorch High-Performance Computing

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